Senior Software Developer / Architect, IT-Trainer, vorzugsweise in Projekten mit Fokus auf Qualität
Einsatzgebiet
Großraum Braunschweig unbeschränkt, deutschlandweit bis zu drei Tage die Woche, für einen Einsatz bis zu einer Woche weltweit, remote unbeschränkt
Verfügbarkeit
ab 01.07.2023
Private Interessen
Lesen und Schreiben interaktiver Geschichten, Open-Source-Projekte, Wissenschaft und Technik, Maschinelles Lernen und Künstliche Intelligenz, Bildung, Menschen und Menschsein, Computerspieleklassiker, Sci-Fi-Klassiker, Politik, Religionen
Vom Nerd zum spezialisierten Generalisten: Ab 2001 bin ich in einem Freizeit-Videospielprojekt tief in C++ eingetaucht und parallel dazu ins Memory-Managements des Linux Kernel 2.4. Ab 2004 arbeitete ich als Tutor für C++ und Java. Im selben Jahr absolvierte ich mein erstes kommerzielles Projekt für Volkswagen, die Entwicklung eines Expertensystems. 2007 habe ich die velian GmbH mitgegründet und 2010 den Paradigmenwechsel zu agiler Softwareentwicklung mittels Scrum mitgestaltet, nachdem ich anfangs sehr skeptisch war. Als Partner eines Kleinunternehmens war ich natürlicherweise Generalist. Ich war zwar auf IT spezialisiert, nur musste ich mich auch mit anderen Themen auseinandersetzen. Durch Scrum habe ich gelernt diesen Umstand zu kultivieren anstatt dagegen anzuarbeiten. - Bereits ab 2011 war ich als Scrum-Coach tätig. 2012 bin ich Freelancer geworden. Von 2013 bis 2016 habe ich ernsthaft ein persönliches Interesse verfolgt und einen Ausflug in eine ganz andere Welt unternommen, die der Psychologie und Psychotherapie. Diesen Weg habe ich 2016 mit meiner Erlangung des "Heilpraktiker für Psychotherapie" abgeschlossen. Noch im selben Jahr wurde mir klar, dass dieser Beruf für mich nicht der richtige ist und kehrte zu IT-Themen zurück. In der Folge habe ich mich vor allem mit solchen befasst, die vorher nicht in meinem Fokus waren: Frontendentwicklung mittels HTML / CSS und JavaScript, Microservices-Architekturen und Funktionaler Programmierung. Somit bin ich von (Projekt-)Controlling, über Projektmanagement, Scrum in allen Rollen, Software-Architektur und -Entwicklung breit aufgestellt. Ich kenne die Entstehung und Wartung von Softwaresystemen aus allen diesen Perspektiven und weiß daher worauf es ankommt.
<!--
@param $args[0] condition to assert
@param $args[1] message thrown if condition failed
<<if !$args[0]>>
<<set $args[1] = $args[1] || "Assertion failed">>
<<run throw $args[1]>>
<</if>>
-->
<<widget assert>>
<</widget>><!--
Does the operation only, when on a mobile. Otherwise such manipulations are mostly unnecessary.
@param $args[0] - string - "stow" or "unstow"
-->
<<widget uibar>>
<<silently>>
<<if window.raban && window.raban.DLib && window.raban.DLib.isMobile && $args.length > 0>>
<<if $args[0] === "stow">>
<<run UIBar.stow()>>
<<elseif $args[0] === "unstow">>
<<run UIBar.unstow()>>
<</if>>
<</if>>
<</silently>>
<</widget>><!--
@param $args[0][n][m] - multidemensional array - each element is either a content string, or an { content: "content string", (classes: can be either a "string of optional classes", null or undefined) } - rows and their cells contents
@param $args[1] - { "tableClasses", "rowClasses", "cellClasses" } - custom classes for styling of table, rows and cells; each of the objects property is of type String or null or undefined
-->
<<widget divtable>>
\ <<silently>>
<<assert $args[0] "[::DivTable] asserting $args[0] failed">>
<<assert Array.isArray($args[0]) "[::DivTable] asserting Array.isArray($args[0]) failed">>
<<if !window.raban.isDef($args[1])>>
<<set $args[1] = {}>>
<</if>>
<<if !window.raban.isDef($args[1].tableClasses) || window.raban.DLib.getObjectTypeString($args[1].tableClasses).capitalize() !== "String">>
<<set $args[1].tableClasses = "">>
<</if>>
<<if !window.raban.isDef($args[1].rowClasses) || window.raban.DLib.getObjectTypeString($args[1].rowClasses).capitalize() !== "String">>
<<set $args[1].rowClasses = "">>
<</if>>
<<if !window.raban.isDef($args[1].cellClasses) || window.raban.DLib.getObjectTypeString($args[1].cellClasses).capitalize() !== "String">>
<<set $args[1].cellClasses = "">>
<</if>>
<<set _tableBeginTag = '<div class="table ' + $args[1].tableClasses + '">'>>
<<set _rowBeginTag = '<div class="tr ' + $args[1].rowClasses + '">'>>
<<set _cellBeginFragment1 = '<div class="td ' + $args[1].cellClasses + ' '>>
<<set _cellBeginFragment2 = '">'>>
<<set _cellBeginTag = _cellBeginFragment1 + _cellBeginFragment2>>
<<set _endTag = '</div>'>>
<<set _table = _tableBeginTag>>
<<for _dti = 0; _dti < $args[0].length; ++_dti>>
<<assert $args[0][_dti] "[::DivTable] asserting $args[0][_dti] failed">>
<<set _isArray = Array.isArray($args[0][_dti])>>
<<assert _isArray "[::DivTable] asserting Array.isArray($args[0][_dti]) failed">>
<<set _table += _rowBeginTag>>
<<for _dtj = 0; _dtj < $args[0][_dti].length; ++_dtj>>
<<set _cell = $args[0][_dti][_dtj]>>
<<assert _cell "[::DivTable] asserting $args[0][_dti][_dtj] failed">>
<<if window.raban.DLib.getObjectTypeString(_cell) === "String">>
<<set _table += _cellBeginTag>>
<<set _table += _cell >>
<<else>>
<<set _additionalCellClasses = "">>
<<if window.raban.isDef(_cell.classes) && window.raban.DLib.getObjectTypeString(_cell.classes) === "String">>
<<set _additionalCellClasses = _cell.classes>>
<</if>>
<<assert ´window.raban.DLib.getObjectTypeString(_cell.content) === String´ "[::DivTable] asserting _cell.content failed!">>
<<set _table += (_cellBeginFragment1 + _additionalCellClasses + _cellBeginFragment2 + _cell.content)>>
<</if>
<!-- the following line has to be there, otherwise weird things happen -->
<<run window.raban.DLib.console("_cell = " + _cell)>>
<<set _table += _endTag>>
<</for>>
<<set _table += _endTag>>
<</for>>
<<set _table += _endTag>>
<</silently>>
\ <<= _table>>
<</widget>><!--
@param $args[0] - title
@param $args[1] - time
@param $args[2] - context
@param $args[3] - functions and results, ommitted if null or empty
@param $args[4] - IT-Specifics, ommitted if null or empty
-->
<<widget projectView>>
<<nobr>>
<<if $args.length >= 3>>
<h2>$args[0]</h2>
<strong>$args[1]</strong>
<h3>Kontext</h3>
$args[2]
<</if>>
<<if $args.length >= 4 && $args[3] !== null && $args[3] !== "">>
<h3>Verantwortlichkeiten</h3>
$args[3]
<</if>>
<<if $args.length >= 5 && $args[4] !== null && $args[4] !== "">>
<h3>IT-Spezifika</h3>
$args[4]
<</if>>
<</nobr>>
<</widget>><<set Config.saves.autoload = false>>
<!-- produces an error message which is irritating: BUG; but it seems to work -->
<!--<set Config.debug = true>-->
<!-- don't EVER rename _self to $self => endless recursion (WTF!) -->
<<set _self = window>>
<<if _self.raban>>
<<set _self.raban.DLib.console.loggingActive = true>>
<<set $unloadWarningChangeHandler = new _self.raban.FrontendHelper.UnloadWarningChangeHandler()>>
<<set $unloadWarningMarkup = "">>
<</if>>Diplom-Wirtschafts-Informatiker (FH)
Certified Scrum Product Owner
Heilpraktiker für Psychotherapie<<nobr>>
<img src="data:image/jpg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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=" alt="Daniel Rogowski" title="Daniel Rogowski">
<</nobr>><<include Introduction>>
<div class="center"><<back>></div><<link `setup.titlePersonalInfos` Start>><</link>>
<<link `setup.titleSkills` setup.titleSkills>><</link>>
<<link `setup.titleEducation` setup.titleEducation>><</link>>
<<link `setup.titleScrum` setup.titleScrum>><</link>>
<<link `setup.titleProjectOverview` setup.titleProjectOverview>><</link>>
/* <<link `setup.titleWholeProjectList` setup.titleWholeProjectList>><</link>> */
/* <<link `setup.titleHistory` setup.titleHistory>><</link>> */
<<link `setup.titlePrintView` setup.titlePrintView>><</link>>
<<link "Kontakt / Impressum" Impressum>><</link>><<nobr>>
<!-- Facebook -->
<a href="http://www.facebook.com/sharer.php?u=https://danielrogowski.netlify.com/" target="_blank">
<img class="share-buttons" src="https://simplesharebuttons.com/images/somacro/facebook.png" alt="Share on Facebook" />
</a>
<!-- Twitter -->
<a href="https://twitter.com/share?url=https://danielrogowski.netlify.com/&text=Daniel%20Rogowski&hashtags=DanielRogowski" target="_blank">
<img class="share-buttons" src="https://simplesharebuttons.com/images/somacro/twitter.png" alt="Share on Twitter" />
</a>
<!-- Google+ -->
<a href="https://plus.google.com/share?url=https://danielrogowski.netlify.com/" target="_blank">
<img class="share-buttons" src="https://simplesharebuttons.com/images/somacro/google.png" alt="Share on Google+" />
</a>
<!-- Reddit (a site to share news and discuss) -->
<a href="http://reddit.com/submit?url=https://danielrogowski.netlify.com/&title=Daniel Rogowski" target="_blank">
<img class="share-buttons" src="https://simplesharebuttons.com/images/somacro/reddit.png" alt="Submit on Reddit" />
</a>
<!-- LinkedIn -->
<a href="http://www.linkedin.com/shareArticle?mini=true&url=https://danielrogowski.netlify.com/" target="_blank">
<img class="share-buttons" src="https://simplesharebuttons.com/images/somacro/linkedin.png" alt="Share on LinkedIn" />
</a>
<!-- Tumblr (Blogs) -->
<a href="http://www.tumblr.com/share/link?url=https://danielrogowski.netlify.com/&title=Daniel Rogowski" target="_blank">
<img class="share-buttons" src="https://simplesharebuttons.com/images/somacro/tumblr.png" alt="Share on Tumblr" />
</a>
<!-- StumbleUpon (like Digg) -->
<a href="http://www.stumbleupon.com/submit?url=https://danielrogowski.netlify.com/&title=Daniel Rogowski" target="_blank">
<img class="share-buttons" src="https://simplesharebuttons.com/images/somacro/stumbleupon.png" alt="Submit on StumbleUpon" />
</a>
<!-- Digg (Digg delivers the most interesting and talked about stories on the Internet right now.) -->
<a href="http://www.digg.com/submit?url=https://danielrogowski.netlify.com/" target="_blank">
<img class="share-buttons" src="https://simplesharebuttons.com/images/somacro/diggit.png" alt="Submit on Digg" />
</a>
<!-- Buffer (social marketing site) -->
<a href="https://bufferapp.com/add?url=https://danielrogowski.netlify.com/&text=Daniel Rogowski" target="_blank">
<img class="share-buttons" src="https://simplesharebuttons.com/images/somacro/buffer.png" alt="Add to Buffer" />
</a>
<!-- Email -->
<a class="link-internal macro-popup" onclick="window.raban.share()">
<img class="share-buttons" src="https://simplesharebuttons.com/images/somacro/email.png" alt="Share via Email" />
</a>
<!--a href="mailto:?Subject=Daniel Rogowski&Body=I%20saw%20this%20and%20thought%20this%20might%20interest%20you!%20 https://danielrogowski.netlify.com/">
<img class="share-buttons" src="https://simplesharebuttons.com/images/somacro/email.png" alt="Share via Email" />
</a-->
<!-- Print -->
<!-- a href="javascript:;" onclick="window.print()">
<img class="share-buttons" src="https://simplesharebuttons.com/images/somacro/print.png" alt="Print" />
</a -->
<</nobr>><<silently>>
<<if !setup.stringsInit>>
<<set setup.stringsInit = true>>
<<include cv-de>>
<<include content-de>>
<<include projects-de>>
<</if>>
<<script>>
let elementsToRemove = [
document.getElementById("menu-item-saves"),
document.getElementById("menu-item-restart"),
document.getElementById("history-backward"),
document.getElementById("history-forward")
];
for (let element of elementsToRemove) {
if (element) {
element.parentNode.removeChild(element);
}
}
window.raban.stowIfMobile();
<</script>>
<</silently>><<script>>
window.raban.pf.setPic();
if (!raban.noPushState) {
const currentPassage = State.passage;
if (!history.state || !history.state.passage || currentPassage !== history.state.passage) {
history.pushState({ passage: currentPassage }, "CV Daniel Rogowski: " + currentPassage);
}
}
else {
raban.noPushState = false;
}
if (State.active.title === setup.titlePrintView) {
UIBar.stow();
/*for (let element of document.getElementsByClassName("link-internal macro-button")) {
if (element) {
element.parentNode.removeChild(element);
}
}*/
document.body.style.color = "black";
document.body.style.backgroundColor = "white";
}
else {
if (!window.raban.DLib.isMobile) {
UIBar.unstow();
}
document.body.style.color = "white";
document.body.style.backgroundColor = "black";
}
<</script>>Your internet browser doesn't support all features necessary for the execution of this interactive web site. Please note, that Microsoft Internet Explorer 9 and below won't work at all. If you want to use a Microsoft product, you have to use Internet Explorer 10, 11 or Edge. Otherwise, try to update your browser to the most recent stable version. If that doesn't solve the issue, please install the most recent stable version of <a href="https://www.google.com/chrome">Google Chrome</a> or <a href="http://www.chromium.org/getting-involved/dev-channel">Chromium</a>. If this still doesn't work, please <<link "click this link" UnknownError>><</link>>.<div class="center"> \
\
Daniel Rogowski
Am Schwarzen Berge 37 A
38112 Braunschweig
Tel.: 0171 / 862 65 36
<<include Feedback>>
<<back "Zurück">>
</div><button class="link-internal macro-popup" onclick="window.raban.feedbackFunc()">Schreiben Sie mir Ihre Meinung per E-Mail an D.Rogowski@gmx.de</button><<include CheckThings>>
<p class="justify"> You navigate the book by <<button "buttons" Introduction>><</button>> and <<link "links" Introduction>><</link>>. Choices are done via radiobuttons and then clicking a button. Like so: </p> \
<<set _choices = ["beer", "sweet red wine", "cold lemonade"]>>
<div class="center">
<<radiobutton "$decision" _choices[0] checked>> I take a _choices[0]!
<<radiobutton "$decision" _choices[1]>> Get me a _choices[1]!
<<radiobutton "$decision" _choices[2]>> I prefer a _choices[2]!
You can freely try out the buttons, links and radiobuttons here. It hasn't any consequences regarding your adventure, this time.
<<button "I want my choosen beverage!" Beverage>><</button>>
</div> \
There's a menu on the left. \
<<if window.raban.DLib.isMobile>> \
You can open and close it by swiping right or left. \
<<else>> \
You can open and close it by clicking on the small arrow icon at the pages top. \
<</if>> \
Feel free to try it out.
<<nobr>>
<<if window.raban.DLib.isMobile>>
<<set _text1 = "magical device's">>
<<set _text2 = "back key">>
<<else>>
<<set _text1 = "magical browsers" >>
<<set _text2 = "back or close button" >>
<</if>>
<</nobr>> \
\
<p class="justify"> Your _text1 _text2 closes this book. (A refresh doesn't of course.) It does not have the same function as a <<back>> button, which navigates you backwards inside the book. When you hit the _text2 accidentally, you will get an alert prompt, which enables you to cancel leaving the book. The alert might not show on devices running iOS. - If you close the book intentionally, your progress gets automatically saved and on getting back reloaded. </p> \Here's your $decision. To your health!
<<back>><<uibar "stow">> \
\<<silently>>
<<set setup.titlePersonalInfos = "Persönliche Informationen">>
<<set setup.titleSkills = "Kompetenzen und Erfahrungen">>
<<set setup.titleEducation = "Aus- und Fortbildungen">>
<<set setup.titleScrum = "So arbeite ich">>
<<set setup.titleProjectOverview = "Projektübersicht">>
<<set setup.titleWholeProjectList = "Alle Projektinhalte">>
<<set setup.titleHistory = "Lebenslauf">>
<<set setup.titlePrintView = "Druckansicht">>
<<set setup.forward = "Weiter zu">>
<<set setup.backwards = "Zurück zu">>
<</silently>><<silently>>
<!-- passage "Persönliche Informationen" -->
<<set setup.birthDate1 = "Geburtsjahr">>
<<set setup.birthDate2 = "1980">>
<<set setup.nationality1 = "Staatsangehörigkeit">>
<<set setup.nationality2 = "Deutsch">>
<<set setup.natLangs1 = "Sprachen">>
<<set setup.natLangs2 = "Deutsch (Muttersprache), Englisch (Gut), Niederländisch (Grundkenntnisse)">><!-- Bitte noch weitere Sprachen enfügen mit Grundkenntnissen: Französisch? Spanisch? Niederländisch? - Kann leider keine weiteren -->
<<set setup.desiredAssignment1 = "Gewünschter Einsatz">>
<<set setup.desiredAssignment2 = "Senior Software Developer / Architect, IT-Trainer, vorzugsweise in Projekten mit Fokus auf Qualität">>
<<set setup.operationalArea1 = "Einsatzgebiet">>
<<set setup.operationalArea2 = "Großraum Braunschweig unbeschränkt, deutschlandweit bis zu drei Tage die Woche, für einen Einsatz bis zu einer Woche weltweit, remote unbeschränkt">>
<<set setup.availability1 = "Verfügbarkeit">>
<<set setup.availability2 = "ab 01.07.2023">>
<<set setup.interests1 = "Private Interessen">>
<<set setup.interests2 = "<p class='justify'>Lesen und Schreiben interaktiver Geschichten, Open-Source-Projekte, Wissenschaft und Technik, Maschinelles Lernen und Künstliche Intelligenz, Bildung, Menschen und Menschsein, Computerspieleklassiker, Sci-Fi-Klassiker, Politik, Religionen</p>">>
<!-- passage "Kompetenzen und Erfahrungen" -->
<<set setup.skill1 = "<strong>++</strong>">>
<<set setup.skill2 = "<strong>+++</strong>">>
<<set setup.skill3 = "<strong>++++</strong>">>
<<set setup.skill4 = "<strong>+++++</strong>">>
<<set setup.skill5 = "<strong>+++++</strong>">>
<<set setup.coaching1 = "Coaching / Training">>
<<set setup.coaching2 = "Agile Produktentwicklung mittels Scrum">>
<<set setup.coaching4 = "Technisches IT-Training">>
<<set setup.coaching3 = "Persönlichkeitsentwicklung: Entdeckung und Entfaltung privater und beruflicher Potentiale">>
<<set setup.it1 = "IT">>
<<set setup.it2 = "Objektorientierte und prozedurale Software-Entwicklung und -Architektur">>
<<set setup.it21 = "Funktionale Software-Entwicklung und -Architektur">>
<<set setup.it3 = "Controlling / Projektcontrolling">>
<<set setup.it4 = "Frameworkentwicklung">>
<<set setup.it5 = "Systemmodellierung und -Spezifikation">>
<<script>>
const isMobile = window.raban.DLib.isMobile;
setup.coachingXp1 = "Coaching / Training";
setup.coachingXp2 = "Erfahrungsorientiertes Scrum-Coaching und -Training (ca. 2 Jahre)";
setup.coachingXp3 = "Ausrichtung von unternehmensübergreifenden Veranstaltungen zum Erfahrungsaustausch im agilen Entwicklungsumfeld (ca. 2 Jahre)";
<!-- 4 Semester a 4,5 Monate + 4 Monate bei 73! = ca. 2 Jahre -->
setup.coachingXp6 = "Technischer IT-Trainer (ca. 6 Monate)";
setup.coachingXp4 = "Initiierung und Begleitung psychischer Prozesse (ca. 3 Jahre)";
setup.coachingXp5 = "Inanspruchnahme von Live-, Gruppen- und Fall-Supervision (über 200 h)";
setup.projektOrgManagement1 = isMobile ? "Projekt- und<br>Organisations-<br>Management" : "Projekt- und Organisationsmanagement";
setup.projectOrgManagement2 = "Scrum als Teammitglied, Product Owner und Scrum Master in diversen Projekten (5+ Jahre)";
setup.Softwareentwicklung = "Softwareentwicklung";
// 08/2001 habe ich damit begonnen: 2001 - 2020: 19 -> ab 07/2012 - 01/2016 nicht -> 19 - 3,5 => 15 Jahre
setup.Softwareentwicklung1 = "Softwareentwickler und -Architekt (ca. 15+ Jahre)";
setup.projektmanagement1 = isMobile ? "IT-Projekt-<br>Management" : "IT-Projektmanagement";
setup.projektmanagement2 = "Scrum";
setup.projektmanagement3 = "Wasserfall und verwandte Vorgehensmodelle";
setup.projektmanagement4 = "Kanban";
setup.itLangs1 = "IT-Sprachen";
setup.itLangs2 = "Javascript";
setup.itLangs21= "HTML / CSS";
setup.itLangs3 = "Java";
setup.itLangs4 = "C/C++";
setup.itLangs5 = "Simple Query Language (SQL)";
setup.itLangs6 = "Unified Modeling Language (UML)";
setup.itLangs7 = "Entity Relationship Modeling (ERM)";
setup.projectOrgManagement3 = "Volkswagen-Produkt-Entstehungs-Prozess-48 (PEP-48) als Systemverantwortlicher Volkswagen Serienentwicklung (1 Jahr, 3 Monate)"; /* ist dies ein Eigenname? Vielleicht in Anführungszeichen setzen; versteht jeder das? Was bedeutet die 48? - Ist ein VW-Name, würde ich hier nicht weiter ausführen */
setup.projectOrgManagement4 = "Einblick in die Holakratie (ca. 2 Monate)";
setup.Frameworks = "Frameworks und Libraries";
setup.Framework1 = "Hibernate";
setup.Framework2 = "JUnit, Mockito, AssertJ und RestAssured";
setup.Framework3 = "Java Enterprise Edition 8, Java Server Pages, Java Server Faces";
setup.Framework4 = "Tomcat";
setup.Framework5 = "Jersey";
setup.Framework6 = "Dropwizard / Guice";
setup.Framework7 = "Spring Boot";
setup.Framework8 = "Java Native Interface (JNI)";
setup.Framework9 = "C++ STL, Boost C++, CppUnit";
setup.Framework10 = "Twee2";
setup.Framework11 = "Selenium";
setup.Databases = "Datenbanken";
setup.Database1 = "H2 / Hypersonic";
setup.Database2 = "PostgreSQL";
setup.Database3 = "MySQL";
setup.Database4 = "Oracle";
setup.Tools = "Tools";
setup.Tool1 = "IntelliJ";
setup.Tool2 = "Eclipse";
setup.Tool3 = "MS Visual Studio";
setup.Tool4 = "Git";
setup.Tool5 = "Subversion";
setup.Tool6 = "Google Chrome";
setup.Tool7 = "Maven";
setup.os = "Entwicklung für die Plattformen";
setup.osWin = "Windows XP - Windows 8";
setup.osLinux = "Linux: Mint, Ubuntu/Kubuntu, Fedora";
setup.osAndroid = "Android";
/* Aus- und Fortbildungen */
setup.edu11 = "2017";
setup.edu12 = "Einarbeitung in die Funktionsweise von Künstlichen Persönlichen Assistenten am Beispiel von <a href=\"https://mycroft.ai/\">mycroft</a>";
setup.edu21 = "seit 31.03.2016";
setup.edu22 = "Vater einer Tochter mit den entsprechenden Herausforderungen und Lernerfahrungen";
setup.edu31 = "2016 / 2017";
setup.edu32 = "Erschließung von Webtechnologien im Selbststudium (Javascript ES6, CSS 3, HTML 5, ...)";
setup.edu41 = "02/2016";
setup.edu42 = "Erteilung der Heilerlaubnis für Psychotherapie durch das Gesundheitsamt Braunschweig nach bestandener schriftlicher und mündlicher Prüfung";
setup.edu51 = "05/2015 – 11/2015";
setup.edu52 = "Weiterbildung in „Orgodynamischer Körperarbeit“ bei Dr. Gabrielle St. Claire";
setup.edu61 = "02/2014 – 03/2015";
setup.edu62 = "Ausbildung in „Psychodynamischer Körpertherapie“ bei Kirsten Specht";
setup.edu71 = "05/2013 und 11/2013";
setup.edu72 = "Zwei tiefenpsychologische Wochenseminare bei Dr. med. Wolfgang Strobel";
setup.edu81 = "03/2013 – 02/2014";
setup.edu82 = "Psychopathologie und Einführung in tiefenpsychologische und behaviorale Psychotherapie bei Thomas Wiebke"; // war das teil der ausbildung bei ihm? <- ja
<</script>>
<</silently>><<silently>>
<<set setup.dcss_title = 'Entwickler an Freier Software'>>
<<set setup.dcss_period = "09/2019 – heute">>
<<set setup.fakultät_period = "03/2020 – 02/2021">>
<<set setup.netcom_title = "Project Constaff für NetCom BW">>
<<set setup.netcom_prose = "Projektleiter / Solutionmanager bei NetCom BW">>
<<set setup.netcom_period = "03/2021 – heute">>
<</silently>><<include "Persönliche Informationen">><<include "Persönliche Informationen content">>
<<button `setup.forward + ' "' + setup.titleSkills + '"'` setup.titleSkills>><</button>> <<nobr>>
<button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button>
<</nobr>><<nobr>>
<img alt="Daniel Rogowski" id="pic-main-upright" style="display: none;"
src="data:image/jpg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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">
<img alt="Daniel Rogowski" id="pic-main-crosswise" style="display: none;"
src="data:image/jpg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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" />
<</nobr>> <<silently>>
<<set _content =
[
[setup.birthDate1, setup.birthDate2],
[setup.nationality1, setup.nationality2],
[setup.natLangs1, setup.natLangs2], // hast du nicht noch eine andere sprache? z. B. Grundkenntnisse in Französisch oder Niederländisch <- leider nein
[setup.desiredAssignment1, setup.desiredAssignment2],
[setup.operationalArea1, setup.operationalArea2],
[setup.availability1, setup.availability2],
[setup.interests1, setup.interests2],
["Referenzen", "<a href='mailto:d.rogowski@gmx.de'>auf Anfrage: d.rogowski@gmx.de</a> oder auch unter <a href='https://github.com/danielrogowski'>github.com/danielrogowski</a>"],
["Homepage", "<a href='https://danielrogowski.netlify.app/'>danielrogowski.netlify.app</a>"]
]
>>
<<set _styles = {
tableClasses: "bwThin bsSolid bcDarkSlateGray",
rowClasses: "bwThin bsSolid bcDarkSlateGray",
cellClasses: "bwThin bsSolid bcDarkSlateGray"
}
>>
<<if true <!--raban.FrontendHelper.uiBarStowed()--> >>
<<run _content.unshift(["Abschlüsse / Zertifikate", "Diplom-Wirtschafts-Informatiker (FH)<br>Certified Scrum Product Owner<br>Heilpraktiker für Psychotherapie"])>>
<</if>>
<</silently>> <<nobr>>
<h2>Überblick</h2>
<<divtable _content _styles>>
<h2>Ich in wenigen Worten</h2>
<p class="justify">Vom Nerd zum spezialisierten Generalisten: Ab 2001 bin ich in einem Freizeit-Videospielprojekt tief in C++ eingetaucht und parallel dazu ins Memory-Managements des Linux Kernel 2.4. Ab 2004 arbeitete ich als Tutor für C++ und Java. Im selben Jahr absolvierte ich mein erstes kommerzielles Projekt für Volkswagen, die Entwicklung eines Expertensystems. 2007 habe ich die velian GmbH mitgegründet und 2010 den Paradigmenwechsel zu agiler Softwareentwicklung mittels Scrum mitgestaltet, nachdem ich anfangs sehr skeptisch war. Als Partner eines Kleinunternehmens war ich natürlicherweise Generalist. Ich war zwar auf IT spezialisiert, nur musste ich mich auch mit anderen Themen auseinandersetzen. Durch Scrum habe ich gelernt diesen Umstand zu kultivieren anstatt dagegen anzuarbeiten. - Bereits ab 2011 war ich als Scrum-Coach tätig. 2012 bin ich Freelancer geworden. Von 2013 bis 2016 habe ich ernsthaft ein persönliches Interesse verfolgt und einen Ausflug in eine ganz andere Welt unternommen, die der Psychologie und Psychotherapie. Diesen Weg habe ich 2016 mit meiner Erlangung des "Heilpraktiker für Psychotherapie" abgeschlossen. Noch im selben Jahr wurde mir klar, dass dieser Beruf für mich nicht der richtige ist und kehrte zu IT-Themen zurück. In der Folge habe ich mich vor allem mit solchen befasst, die vorher nicht in meinem Fokus waren: Frontendentwicklung mittels HTML / CSS und JavaScript, Microservices-Architekturen und Funktionaler Programmierung. Somit bin ich von (Projekt-)Controlling, über Projektmanagement, Scrum in allen Rollen, Software-Architektur und -Entwicklung breit aufgestellt. Ich kenne die Entstehung und Wartung von Softwaresystemen aus allen diesen Perspektiven und weiß daher worauf es ankommt.</p>
<</nobr>><<button `setup.backwards + ' "' + setup.titlePersonalInfos + '"'` setup.titlePersonalInfos>><</button>>
<<include "Kompetenzen und Erfahrungen content">>
<<button `setup.forward + ' "' + setup.titleEducation + '"'` setup.titleEducation>><</button>> <<nobr>>
<button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button>
<</nobr>><<nobr>>
<h2>Erfahrungen</h2>
<</nobr>> <<silently>>
<<set _contentXP =
[
[setup.coachingXp1,
window.raban.ul(
window.raban.li(setup.coachingXp2) +
window.raban.li(setup.coachingXp3) +
window.raban.li(setup.coachingXp6) +
window.raban.li(setup.coachingXp4) +
window.raban.li(setup.coachingXp5)
)
],
[setup.projektOrgManagement1,
window.raban.ul(
window.raban.li(setup.projectOrgManagement2) +
window.raban.li(setup.projectOrgManagement3) +
window.raban.li(setup.projectOrgManagement4)
)
],
[setup.Softwareentwicklung,
window.raban.ul(
window.raban.li(setup.Softwareentwicklung1)
)
],
]
>>
<<set _styles = {
tableClasses: "bwThin bsSolid bcDarkSlateGray",
rowClasses: "bwThin bsSolid bcDarkSlateGray",
cellClasses: "bwThin bsSolid bcDarkSlateGray"
}
>>
<</silently>> <<nobr>>
<<divtable _contentXP _styles>>
<h2>Kompetenzen</h2>
<</nobr>> <<silently>>
<<set _headline =
[
["<strong>Skill</strong>", { content: "<strong>Level</strong>", classes: "skillTableTdMod" } ]
]
>>
<<set _contentCoaching =
[
[setup.coaching2, { content: setup.skill4, classes: "skillTableTdMod" } ],
[setup.coaching4, setup.skill4],
[setup.coaching3, setup.skill3]
]
>>
<<set _contentIt =
[
[setup.it2, { content: setup.skill5, classes: "skillTableTdMod" } ],
[setup.it21, setup.skill2],
[setup.it3, setup.skill3],
[setup.it4, setup.skill3],
[setup.it5, setup.skill4]
]
>>
<<set _contentProjektmanagement =
[
[setup.projektmanagement2, { content: setup.skill5, classes: "skillTableTdMod" } ],
[setup.projektmanagement3, setup.skill4],
[setup.projektmanagement4, setup.skill2]
]
>>
<<set _contentItLangs =
[
[setup.itLangs2, { content: setup.skill4, classes: "skillTableTdMod" } ],
[setup.itLangs21, setup.skill3],
[setup.itLangs3, setup.skill4],
[setup.itLangs4, setup.skill4],
[setup.itLangs5, setup.skill2],
[setup.itLangs6, setup.skill3],
[setup.itLangs7, setup.skill4]
]
>>
<<set _contentFrameworks =
[
[setup.Framework11, setup.skill4],
[setup.Framework7, setup.skill3],
[setup.Framework5, setup.skill3],
[setup.Framework1, { content: setup.skill3, classes: "skillTableTdMod" } ],
[setup.Framework2, setup.skill3],
[setup.Framework3, setup.skill3],
[setup.Framework4, setup.skill3],
[setup.Framework6, setup.skill2],
["JavaFX", setup.skill3],
[setup.Framework8, setup.skill4],
[setup.Framework9, setup.skill3],
[setup.Framework10, setup.skill5],
]
>>
<<set _contentTools =
[
[setup.Tool7, setup.skill4],
[setup.Tool1, { content: setup.skill3, classes: "skillTableTdMod" } ],
[setup.Tool2, setup.skill3],
[setup.Tool3, setup.skill2],
[setup.Tool4, setup.skill4],
[setup.Tool5, setup.skill2],
[setup.Tool6, setup.skill4],
]
>>
<<set _contentOs =
[
[setup.osWin, { content: setup.skill4, classes: "skillTableTdMod" } ],
[setup.osLinux, setup.skill4],
[setup.osAndroid, setup.skill2]
]
>>
<<set _contentSkills =
[
[ "<strong>Bereich</strong>", "<<divtable _headline _styles>>" ],
[ setup.coaching1, "<<divtable _contentCoaching _styles>>" ],
[ setup.it1, "<<divtable _contentIt _styles>>" ],
[ setup.projektmanagement1, "<<divtable _contentProjektmanagement _styles>>" ],
[ setup.itLangs1, "<<divtable _contentItLangs _styles>>" ],
[ setup.Frameworks, "<<divtable _contentFrameworks _styles>>"],
[ setup.Tools, "<<divtable _contentTools _styles>>"],
[ setup.os, "<<divtable _contentOs _styles>>"],
]
>>
<</silently>> <<nobr>>
<<divtable _contentSkills _styles>>
<</nobr>><<button `setup.backwards + ' "' + setup.titleSkills + '"'` setup.titleSkills>><</button>>
<<include "Aus- und Fortbildungen content">>
<<nobr>>
<<button `setup.forward + ' "' + setup.titleScrum + '"'` setup.titleScrum>><</button>>
<button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button>
<</nobr>><h2><<= setup.titleEducation>></h2>
<<silently>>
<<set _content =
[
["2020", "Projektspezifische Auffrischungen von" + window.raban.ulFromArrayOfStr(["OO Design Patterns", "<a href='https://spring.io/projects/spring-boot'>Spring Boot</a>", "Relationale Datenbanktheorie und -Praxis", "RESTful Java", "Java Server Pages (JSP) und Java Server Faces (JSF)"])],
["2018 / 2019", "Projektspezifische Einarbeitungen in" + window.raban.ulFromArrayOfStr(["<a href='https://www.seleniumhq.org/'>Selenium</a>", "<a href='https://microservices.io/index.html'>Microservices Architecture</a>", "<a href='https://www.oracle.com/de/java/technologies/java-ee-glance.html'>Java EE 8</a> auf <a href='https://www.payara.fish/'>Payara Server</a>", "<a href='https://spring.io/projects/spring-boot'>Spring Boot</a>", "<a href='https://www.dropwizard.io/'>Dropwizard</a>", "<a href='https://github.com/google/guice'>Google Guice</a>"])],
[setup.edu11, setup.edu12],
// [setup.edu21, setup.edu22],
[setup.edu31, setup.edu32],
[setup.edu41, setup.edu42],
[setup.edu51, setup.edu52],
[setup.edu61, setup.edu62],
[setup.edu71, setup.edu72],
[setup.edu81, setup.edu82],
["09/2012 – 11/2012", "Drei Wochenendworkshops in Biodynamischer Psychologie bei Menno de Lange, Mona-Lisa Boyesen und Kirsten Specht"],
["11/2010", "IT-Agile, Hamburg<br>" +
window.raban.ul(window.raban.li("Erlangung der Zertifizierung: \"Certified Scrum Product Owner\""))
],
["05/2010, 06/2010, 11/2010", "Hans David – Institut für Rhetorik, Coaching und Managementtraining, Braunschweig<br>" +
window.raban.ul(
window.raban.li("Neuro-Linguistisches-Programmieren (NLP)") +
window.raban.li("Systemisches Denken")
)
],
["03/2000 – 06/2009", "University of Applied Sciences Ostfalia, Wolfsburg" +
window.raban.ul(window.raban.li("Diplom Wirtschafts-Informatiker (FH)"))
],
["08/1997 – 06/1999", "BBS II, Fachoberschule Wirtschaft, Uelzen" +
window.raban.ul(window.raban.li("Fachhochschulreife"))
],
["08/1993 – 06/1997", "Schiller-Realschule, Uelzen" +
window.raban.ul(window.raban.li("Erweiterter Sekundarabschluss I"))
]
]
>>
<<set _styles = {
tableClasses: "bwThin bsSolid bcDarkSlateGray",
rowClasses: "bwThin bsSolid bcDarkSlateGray",
cellClasses: "bwThin bsSolid bcDarkSlateGray"
}
>>
<</silently>> <<nobr>>
<<divtable _content _styles>>
<</nobr>><<button `setup.backwards + ' "' + setup.titleEducation + '"'` setup.titleEducation>><</button>>
<<include "So arbeite ich content">> <<nobr>>
<button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button>
<</nobr>>
<<button `setup.forward + ' "' + setup.titleProjectOverview + '"'` setup.titleProjectOverview>><</button>><<nobr>>
<h2><<= setup.titleScrum>></h2>
<h3>Fokus auf Qualität</h3>
<p class="justify">Spätestens seit 1996 ist <a href='https://dev.to/bosepchuk/the-one-chart-every-developer-must-understand-2db9'>bewiesen</a>, dass der Fokus auf Qualität bei der Softwareentwicklung die Auslieferung beschleunigt und sowohl die Kosten für die Entwicklung als auch die Total Cost of Ownership senken. Dennoch liegt der Fokus bei den meisten Softwareprojekten auf "schnell-schnell", anstatt auf Qualität. Auch das ist bewiesen. Ich habe viele Projekte dieser Art erlebt und möchte so arbeiten wie es ökonomisch sinnvoll ist: qualitätsorientiert.</p>
<p class="justify">Es ist mein Anliegen an der Verbesserung der Qualität in Softwareprojekten zu arbeiten. Ich bringe die Bereitschaft dazu mit, auch solche Veränderungen im Arbeitsprozess auszuprobieren, die zunächst unbequem erscheinen.</p>
<h3>So setze ich Scrum um</h3>
<p class="justify">Scrum einzusetzen ist kein Garant für Erfolg in Form von steigender Performance, sinkender Verschwendung und besseren Produkten. Dies sind Ziele von Scrum, die nur dann erreichbar werden, wenn Scrum auch konsequent umgesetzt wird. Das bedarf Beharrlichkeit, Geduld, und immer wieder Korrekturen. Eine strikt hierarchische Führung "von oben nach unten" zu einer teilweisen Selbstverwaltung zu verändern ist ein Prozess, bei dem früher erlernte und seitdem zur Gewohnheit gewordene Verhaltensmuster durch neue ergänzt werden müssen. Ähnliches gilt für technologischen Wandel. Die neuen Verhaltensmuster so zu etablieren, dass sie von den alten nicht mehr dominiert werden, sondern gleichwertig neben ihnen bestehen, ist ein langer Weg. Dies sicherzustellen ist bei Anwendung von Scrum die Aufgabe des Scrum Masters./* Super umformuliert! Fein! */</p>
/*
In den meisten meiner Projekte habe ich Scrum nicht explizit erwähnt. Dabei wurde fast immer "so etwas wie Scrum" durchgeführt. Die meisten Organisationen setzen Scrum nur teilweise um, mit den entsprechenden Ergebnissen. Ich schreibe nur dann von "Scrum", wenn es auch tatsächlich umgesetzt wurde. Mir geht es dabei nicht um eine "reine Lehre", sondern darum, dass Sie nicht erwarten können, dass ein beliebig zur Hälfte montiertes PKW zuverlässig funktioniert. Dennoch erwarten viele Anwender implizit, dass 50% Scrum 100% der Vorteile von "Agile" bringen. Sie bezeichnen sich sogar als agil. - Mit der Zeit kann eine Organisation agil(er) werden, wenn sie ein agiles Framework vollständig umsetzt. Möglich ist das vom ersten Tag der Einführung an.
Ich hoffe Ihr Kunde erkennt den Wert dieser Differenzierung und möchte den maximalen Nutzen aus der Anwendung von Scrum ziehen.
*/
<p class="justify">Kurzfristigere Anpassungen werden von Teams bei Wechsel des Projektes, Veränderung der Ziele oder der Teamzusammensetzung verlangt. Auch diese Transitionen erfordern Anpassungen des Verhaltens. Eine Einflussgröße, die für das letzte Projekt maßgeblich zum Erfolg geführt hat, lässt nicht automatisch die Schlussfolgerung zu, dies gelte auch für das nächste./* Ebenfalls sehr flüssig umformuliert - toll! :-) */</p>
Im folgenden ein paar Faktoren die mir wichtig sind, um genannte Ziele zu erreichen:
<</nobr>> <<silently>>
<<set _content =
window.raban.ul(
window.raban.li("Alle Vorgaben, die <a href='https://www.scrumguides.org/docs/scrumguide/v2017/2017-Scrum-Guide-US.pdf'>Scrum</a> gibt, werden eingehalten. Alle Vorgaben die das Team und der Product Owner sich selbst geben, werden darüber hinaus eingehalten. - Da Scrum ein Framework und keine Methode ist, bringt es keinen Nutzen einzelne Elemente wegzulassen. Es ist sinnvoller Elemente dort hinzuzufügen, wo sie kontextabhängig ins Framework passen.") +
window.raban.li("Der Weg von der Gruppe zum Scrum-Team ist bei jeder Gruppe und jedem neuen Projekt einzigartig.") +
window.raban.li("Ein Commitment im Sinne von \"Wir versuchen die Anforderungen zum Termin zu schaffen\" ist unzureichend! Um sämtliches Potential auszuschöpfen muss das Commitment \"Wir setzen die Anforderungen zum Termin um\" lauten!") +
window.raban.li("Der Scrum Master sollte nicht \"Servant Leader\" des Teams in dem Sinne sein, dass er ständig Aufgaben, wie z.B. die Beseitigung von \"Impediments\", für das Team zu erledigen hat. Ein Ziel von Scrum besteht darin Bottlenecks zu vermeiden oder zu reduzieren. Nimmt der Scrum Master dem Team immer wieder bestimmte Aufgaben ab, wird er selbst zum Bottleneck. Vielmehr soll er die Teammitglieder in die Lage versetzen auch spezielle Aufgaben selbst zu lösen.") +
window.raban.li("Entscheidend für den Entwicklungserfolg ist die Arbeit des Product Owners. Auch für diesen muss der Scrum Master regelmäßig zur Verfügung stehen, zum Beispiel als Begleitung für Gespräche mit Stakeholdern und für die Arbeit am Backlog.") +
window.raban.li("Jeden Tag achte ich erneut darauf, dass in den letzten Retrospektiven vereinbarte Veränderungen konsequent umgesetzt werden.")
)
>>
<</silently>> <<nobr>>
_content
<</nobr>><<button `setup.backwards + ' "' + setup.titleScrum + '"'` setup.titleScrum>><</button>>
<<include "Projektübersicht content">> <<nobr>>
<button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button>
<</nobr>><<nobr>>
<h2><<= setup.titleProjectOverview>></h2>
<</nobr>> <<silently>>
<<set _mpa = window.raban.pf.makeProjectAnchor>>
<<set _content =
[
[_mpa(setup.netcom_period, setup.netcom_title), _mpa(setup.netcom_prose, setup.netcom_title)],
[_mpa(setup.fakultät_period, 'Trainer bei 73 Fakultät'), _mpa('IT-Trainer für Volkswagen im Rahmen von \"73 Fakultät!\"', 'Trainer bei 73 Fakultät')],
[_mpa(setup.dcss_period, 'setup.dcss_title'), _mpa('Entwickler an Freier Software', 'setup.dcss_title')],
[_mpa('07/2019 - 09/2019', 'Java Developer für einen Personaldiensleister'), _mpa('Java-Entwickler für einen Personaldiensleister', 'Java Developer für einen Personaldiensleister')],
[_mpa('12/2018 – 07/2019', 'Java Developer bei Sunhill'), _mpa('Java-Entwickler für die Sunhill GmbH', 'Java Developer bei Sunhill')],
[_mpa('10/2018 – 12/2018', 'Qualitätssicherung bei der velian GmbH 2'), _mpa('Leitung für Qualitätssicherung bei der <a href=\"https://www.velian.de/\">velian GmbH</a>', 'Qualitätssicherung bei der velian GmbH 2')],
[_mpa('01/2018', 'Konversion alter MS-Word-Dokumente'), _mpa('Prototyp für die Konvertierung von Word-95-Dokumenten', 'Konversion alter MS-Word-Dokumente')],
[_mpa('10/2017 – 12/2017', 'Qualitätssicherung bei der velian GmbH'), _mpa('Leitung für Qualitätssicherung bei der <a href=\"https://www.velian.de/\">velian GmbH</a>', 'Qualitätssicherung bei der velian GmbH')],
[_mpa('2016 – 2018', 'Produktframework für Webapps'), _mpa('Produktframework für Webapps', "Produktframework für Webapps")],
[_mpa('07/2012 – 09/2013', 'Systemverantwortung in der Fahrzeugserienentwicklung'), _mpa('Technische Teilprojektleitung in der Fahrzeugserienentwicklung', 'Systemverantwortung in der Fahrzeugserienentwicklung')],
[_mpa('03/2012 – 06/2012', 'Scrum LEGO Game'), _mpa('Scrum LEGO Game', 'Scrum LEGO Game')],
[_mpa('01/2012 – 03/2012', 'Android native PDF Viewer'), _mpa('Android native PDF Viewer', 'Android native PDF Viewer')],
[_mpa('01/2012', 'Android Security'), _mpa('Android Security', 'Android Security')],
[_mpa('07/2011 – 03/2012', 'Automotive Navigation'), _mpa('Automotive Navigation', 'Automotive Navigation')],
[_mpa('03/2009 – 06/2011', 'Auswertungs- und Expertensystem'), _mpa('Auswertungs- und Expertensystem', 'Auswertungs- und Expertensystem')],
[_mpa('03/2008 – 04/2011', 'Automotive Variantenmanagementsoftware'), _mpa('Automotive Variantenmanagementsoftware', 'Automotive Variantenmanagementsoftware')],
[_mpa('04/2008 – 09/2008', 'Automotive F&E Touchscreen'), _mpa('Automotive F&E Touchscreen', 'Automotive F&E Touchscreen')],
[_mpa('08/2007 – 06/2008', 'Integration heterogener Softwaresysteme'), _mpa('Integration heterogener Softwaresysteme', 'Integration heterogener Softwaresysteme')],
[_mpa('07/2006 – 08/2007', 'Plattform für eCommerce'), _mpa('Plattform für eCommerce', 'Plattform für eCommerce')],
[_mpa('10/2005 – 03/2006', 'Automotive Expertensystem'), _mpa('Automotive Expertensystem', 'Automotive Expertensystem')],
[_mpa('10/2004 – 06/2006', 'Tutor im Hochschulkontext'), _mpa('Tutor im Hochschulkontext', 'Tutor im Hochschulkontext')],
[_mpa('09/2004 – 08/2005', 'Software Balanced Scorecard'), _mpa('Software Balanced Scorecard', 'Software Balanced Scorecard')],
[_mpa('08/2001 – 01/2006', 'Videospielentwicklung'), _mpa('Videospielentwicklung', 'Videospielentwicklung')]
]
>>
<<set _styles = {
tableClasses: "bwThin bsSolid bcDarkSlateGray",
rowClasses: "bwThin bsSolid bcDarkSlateGray",
cellClasses: "bwThin bsSolid bcDarkSlateGray"
}
>>
<</silently>> <<nobr>>
<<divtable _content _styles>>
<</nobr>><<silently>>
<<set _projects = [
setup.netcom_title,
'Project Trainer bei 73 Fakultät',
'Project setup.dcss_title',
'Project Java Developer für einen Personaldiensleister',
'Project Java Developer bei Sunhill',
'Project Qualitätssicherung bei der velian GmbH 2',
'Project Konversion alter MS-Word-Dokumente',
'Project Qualitätssicherung bei der velian GmbH',
'Project Produktframework für Webapps',
'Project Systemverantwortung in der Fahrzeugserienentwicklung',
'Project Scrum LEGO Game',
'Project Android native PDF Viewer',
'Project Android Security',
'Project Automotive Navigation',
'Project Auswertungs- und Expertensystem',
'Project Automotive Variantenmanagementsoftware',
'Project Automotive F&E Touchscreen',
'Project Integration heterogener Softwaresysteme',
'Project Plattform für eCommerce',
'Project Automotive Expertensystem',
'Project Tutor im Hochschulkontext',
'Project Software Balanced Scorecard',
'Project Videospielentwicklung'
]>>
<</silently>> <<nobr>>
<hr class="projectDivider">
<<for _i = 0; _i < _projects.length; ++_i>>
<<include _projects[_i]>>
<hr class="projectDivider">
<</for>>
<</nobr>>
<button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<nobr>>
<h2>Lebenslauf</h2>
<h3>Beruflicher Werdegang</h3>
<</nobr>> <<silently>>
<<set _content =
[
["seit 2016",
"Selbstständig<br>"
+ window.raban.ulFromArrayOfStr(["überwiegend Arbeit im Auftrag und an eigenen IT-Projekten"])],
["ab 2013", "Ausflug in die Welt der Psychologie und Psychotherapie"],
["Juli 2012 - September 2013",
"Selbstständig<br>"
+ window.raban.ulFromArrayOfStr(["IT-Projektmanagement"])],
["2012 - 2015",
"Psychologische und Psychotherapeutische Aus- und Fortbildungen, Psychotherapeutische Arbeit unter Supervision und Hospitation. Umfang: 420 Stunden.<!-- (<<link 'Zu welchem Zweck Psychotherapie?' 'Zu welchem Zweck Psychotherapie?'>><</link>>) -->"],
["Juli 2009 - Juni 2012",
"velian GmbH<br>"
+ "Prokurist<br>"
+ window.raban.ulFromArrayOfStr(["IT-Projektmanagement", "Controlling"])],
["Oktober 2005 - Juni 2009",
"Selbstständig<br>"
+ window.raban.ulFromArrayOfStr(["Softwareentwicklung"])],
["August 1997 - Juli 1998",
"Uelzener Versicherungen AG<br>"
+ "Praktikant"
+ window.raban.ulFromArrayOfStr(["Sachbearbeitung"])]
]
>>
<<set _styles = {
tableClasses: "bwThin bsSolid bcDarkSlateGray",
rowClasses: "bwThin bsSolid bcDarkSlateGray",
cellClasses: "bwThin bsSolid bcDarkSlateGray"
}
>>
<</silently>> <<nobr>>
<<divtable _content _styles>>
<h3>Akademische Laufbahn</h3>
<</nobr>> <<silently>>
<<set _content =
[
["März 2000 - August 2009",
"Studium Wirtschaftsinformatik Fachhochschule Ostfalia<br>"
+ window.raban.ulFromArrayOfStr(["Abschluss: Diplom (FH)"])]
]
>>
<</silently>> <<nobr>>
<<divtable _content _styles>>
<h3>Schulbildung</h3>
<</nobr>> <<silently>>
<<set _content =
[
["September 1997 - Juni 1999",
"BBS II Uelzen, Fachoberschule Wirtschaft<br>"
+ window.raban.ulFromArrayOfStr(["Abschluss: Fachhochschulreife"])],
["September 1993 - Juli 1997",
"Schiller Realschule Uelzen<br>"
+ window.raban.ulFromArrayOfStr(["Abschluss: Erweiterter Sekundarabschluss II"])],
["September 1991 - Juli 1993",
"Orientierungsstufe Lukas-Backmeister -Schule Uelzen"],
["September 1987 - Juli 1991",
"Grundschule Holdenstedt"],
]
>>
<</silently>> <<nobr>>
<<divtable _content _styles>>
<button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button>
<</nobr>><<nobr>>
<<include `setup.titlePersonalInfos + " content"`>>
<<include `setup.titleSkills + " content"`>>
<<include `setup.titleEducation + " content"`>>
/* <<include `setup.titleHistory`>> */
<<include `setup.titleScrum + " content"`>>
<<include `setup.titleWholeProjectList`>>
<</nobr>> <<silently>>
<!-- empty lines are intentionally omitted on the following project pages: --> <</silently>><<back "Zurück">>
<<include 'Project Trainer bei 73 Fakultät'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project setup.dcss_title'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project Java Developer für einen Personaldiensleister'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project Java Developer bei Sunhill'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project Qualitätssicherung bei der velian GmbH 2'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project Konversion alter MS-Word-Dokumente'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project Qualitätssicherung bei der velian GmbH'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project Produktframework für Webapps'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project Systemverantwortung in der Fahrzeugserienentwicklung'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project Scrum LEGO Game'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project Android native PDF Viewer'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project Android Security'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project Automotive Navigation'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project Auswertungs- und Expertensystem'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project Automotive Variantenmanagementsoftware'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project Automotive F&E Touchscreen'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project Integration heterogener Softwaresysteme'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project Plattform für eCommerce'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project Automotive Expertensystem'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project Tutor im Hochschulkontext'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project Software Balanced Scorecard'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<back "Zurück">>
<<include 'Project Videospielentwicklung'>>
<<back "Zurück">>
\ <button onclick="window.raban.topFunction()" class="topButton" title="Go to top">Top</button><<silently>>
<<set _context =
"<p class='justify'>Die <a href='https://www.netcom-bw.de/'>NetCom BW</a> ist ein regional in Süddeutschland tätiger Telekommunikationsanbieter mit einem eigenen Glasfasernetz und eine Tochter des <a href='https://www.enbw.com/'>EnBW-Konzerns</a>.</p>" +
"<p class='justify follows'>Meine Rolle ist die des so genannten Solutionmanagers. Diese umfasst die Arbeit an IT-Lösungen im Wesentlichen für Automatisierungssysteme in der Telekommunikationsprovisionierung. Praktisch bin ich für diese Lösungen vom Anforderungsmanagement, über Architektur, Entwicklung, Test und Abnahme im ganzen SW-Entwicklungsprozess involviert. Die Themen umfassen <a href='https://de.wikipedia.org/wiki/Softswitch'>Softswitch</a>-Provisionierung, <a href='https://de.wikipedia.org/wiki/Glasfasernetz#Fibre_to_the_Basement'>FTTB</a>-Prozessautomatisierung und <a href='https://www.tradegecko.com/wholesale-management/orders'>Wholesale-Order-Management</a>, um der Deutschen Telekom das Glasfasernetz der NetCom BW zugänglich zu machen.</p>" +
"<p class='justify follows'> Aufgrunddessen, dass die NetCom BW in den letzten vier Jahren von 50 auf 400 Mitarbeiter angewachsen ist und weiter wächst, steht die IT vor großen Herausforderungen hinsichtlich Organisation, Kommunikation und Qualitätssicherung. In letzterem Thema habe ich eine führende Rolle übernommen, indem ich ein Projekt definiert habe, dass ein Qualitätssicherungsframework einführt. Eine Reihe interner Fortbildungsveranstaltungen zu Elementen der Qualitätssicherung in der IT habe ich bereits durchgeführt. Weitere Veranstaltungen stehen aus.</p>"
>>
<<set _functions = window.raban.ulFromArrayOfStr(["Solutionmanager", "SW-Architekt", "SW-Entwickler"])>>
<<set _it = window.raban.ulFromArrayOfStr(["Java 11", "Spring Boot 2.x", "PostgreSQL", "Python 2.7 / 3.9", "Docker"])>>
<</silently>> \
\
<<projectView setup.netcom_prose setup.netcom_period _context _functions _it>><<silently>>
<<set _context =
"<p class='justify'>Bei <a href='https://www.volkswagen-karriere.de/de/ihr-einstieg/fakultaet-73.html'>\"73 Fakultät!\"</a> handelt es sich um ein ehrgeiziges und richtungsweisendes Umschulungsprojekt des <a href='https://www.volkswagenag.com/de.html'>Volkswagen Konzerns</a>. Das aktuell größte Deutschlands. Es wird vom Bundesministerium für Wirtschaft und Soziales <a href='https://www.facebook.com/watch/?v=269429933938140'>gefördert</a>.</p>" +
"<p class='justify follows'>Durch die Corona-Krise fanden viele der Veranstaltungen über die Online-Plattform <a href='https://bigbluebutton.org/'>Big Blue Button</a> statt.</p>" +
"<p class='justify follows'>Ich leitete 2020 und 2021 die Trainings mehrerer Klassen folgender Veranstaltungen mit jeweils 15 bis 100 Teilnehmern:" +
raban.ulFromArrayOfStr([
"März: \"Java Start\" und \"Pattern of Design\" (objektorientierte Entwurfsmuster / OO Design Patterns)",
"April: \"Java Advanced\" und das \"Java Project\", in dem eine monolithische Java-Applikation auf <a href='https://spring.io/projects/spring-boot'>Spring Boot</a> mit separatem Client portiert wurde",
"Mai: \"Relational Database Design\", \"Java Basis I und II\" (GUI-Entwicklung mit javaFX), \"UML Crashkurs\"",
"Juni: \"RESTful Java\" und \"JSP & JSF\"",
"Juli: \"Clean Code und Test Driven Development (TDD)\"",
"August / September: \"Web-Entwicklung mit JavaScript, HTML und CSS\"",
"Oktober / November: \"Algorithmen und Datenstrukturen\", \"Java Basis III\", \"Webentwicklung mit JavaScript, HTML und CSS II\"",
"Dezember / Januar 2021: \"Java Advanced I\" (im Wesentlichen Projektarbeit), Prüfungsprojektbegleitung",
"Januar / Februar 2021: Begleitung praktischer Prüfungen inklusive Prüfungsabnahme für die Fächer \"Java\" und \"Algorithmen und Datenstrukturen\"",
"Februar 2021: \"Software Quality\""]) +
"</p>" +
"<p class='justify follows'>Folgende Veranstaltungen habe ich (mit-) konzeptioniert:" +
raban.ulFromArrayOfStr([
"\"Java Project\", in dem eine monolithische Java-Applikation auf Spring Boot mit separatem Client portiert wird (vollständige Konzeption)",
"\"Relational Database Design\" (ca. 80% der Konzeption)",
"\"UML Crashkurs\" (Review)",
"\"RESTful Java\" (100% der Konzeption)",
"\"JSP & JSF\" (ca. 50% der Konzeption)",
"\"Grobkonzept für Grundlagen Webentwicklung für März 2021\"",
"\"Algorithmen und Datenstrukturen: Skript, Aufgaben und Klausuren\" (Review)",
"\"Java Start\" (Review)",
"Klausurenkonzeption Java-Abschlussprüfungen Jahr 1"]) +
"</p>" +
"<p class='justify follows'><a href='https://www.dropbox.com/s/z9zitv83fafdjg5/Steckbrief_VW.docx?dl=1'>Mein Trainersteckbrief</a></p>"
>>
<<set _functions = window.raban.ulFromArrayOfStr(["IT-Trainer", "Konzeptionist von IT-Trainings und Klausuren", "Prüfer"])>>
<<set _it = window.raban.ulFromArrayOfStr(["Software Quality", "Java Start, Basis und Advanced", "UML", "Pattern of Design (OO Design Patterns)", "Java Project mit <a href='https://spring.io/projects/spring-boot'>Spring Boot</a>", "Relational Database Design", "JSP & JSF", "Clean Code und TDD", "JavaScript, ECMAScript, HTML, CSS"])>>
<</silently>> \
\
<<projectView "IT-Trainer im Rahmen von \"73 Fakultät!\"" setup.fakultät_period _context _functions _it>><<silently>>
<<set _context =
"<p class='justify'>Bei meinem Kunden handelt es sich um ein Kleinunternehmen im Bereich Headhunting, Recruiting und HR-Consulting. Dort entwickelte ich einen Crawler für soziale Netzwerke, um Kandidateninformationen und -Kontakte automatisch zu aktualisieren. Ausgeliefert wurde die Software als RESTful Service auf Tomcat.</p>" +
"<p class='justify follows'>Zum Ende meines Einsatzes wurde ich als Berater in Sachen Projektmanagement tätig. Ziel war es, kurze Releasezyklen mit hoher Zuverlässigkeit zu realisieren.</p>"
>>
<<set _functions = window.raban.ulFromArrayOfStr(["Softwareentwickler", "Berater"])>>
<<set _it = window.raban.ulFromArrayOfStr(["Java 8", "Selenium", "Maven", "Tomcat 9", "Jersey 2"])>>
<</silently>> \
\
<<projectView "Java Developer für einen Personaldiensleister" "07/2019 – 09/2019" _context _functions _it>><<silently>>
<<set _context =
"<p class='justify'>Die <a href='https://www.sunhill-technologies.com/index.html'>sunhill technologies GmbH</a> ist ein mittelständisches IT-Unternehmen im Bereich Mobile Payment und Tochter von <a href='https://www.vwfsag.de/content/sites/vwcorporate/vwfsag_de/de/home.html'>Volkswagen Financial Services</a>. Meine Aufgabe war die Entwicklung von Microservices für die Produkte <a href='https://www.vwfs.de/auto-mobilitaet-services/charge-fuel.html'>Charge and Fuel</a> und <a href='https://paybyphone-parken.de'>paybyphone</a>.</p>"
+ "<p class='justify follows'>Für Charge and Fuel habe ich Refactorings zur Verbesserung der Softwarequalität durchgeführt. Für paybyphone entwickelte ich einen RESTful Microservice zur Verarbeitung von Points Of Interest (POI) hinsichtlich Ladesäulen für elektrifizierte Fahrzeuge. Darüber hinaus war ich an der Entwicklung der Service-Architektur und dem relationalen Datenmodell für den Bereich \"Charge\" in paybyphone maßgeblich beteiligt.</p>">>
<<set _functions = window.raban.ulFromArrayOfStr(["Softwareentwickler"])>>
<<set _it = window.raban.ulFromArrayOfStr(["Java 8", "Dropwizard / Guice", "Maven", "Microservices", "Spring Boot"])>>
<</silently>> \
\
<<projectView "Java Developer bei Sunhill" "12/2018 – 07/2019" _context _functions _it>><<silently>>
<<set _context =
"<h4>DCSS</h4>" +
"<p class='justify'><a href='https://github.com/crawl/crawl'>Dungeon Crawl: Stone Soup</a> ist ein roguelike, dessen Entwicklung Community-driven ist. Ich habe in meinem Fork <a href='https://github.com/danielrogowski/evilcrawl'>evilcrawl</a> einige Features implementiert. Die meisten davon konnten per Konfigurationsdatei an- und ausgeschaltet werden und sind per default aus. Mit der Zeit habe ich jedoch auch Features entwickelt die per se zur Verbesserung der Spielerfahrung beitragen sollen und sich von der Mainline abgrenzen. Siehe das <a href='https://github.com/danielrogowski/evilcrawl/blob/master/README.md'>README</a>.</p><br>" +
"<h4>Pioneer Space Sim</h4>" +
"<p class='justify'>Eine kleine Ergänzung zur modernisierten und stark erweiterten <a href='https://github.com/pioneerspacesim'>Neuimplementation</a> des Spieleklassikers Elite: Frontier. <a href='https://github.com/danielrogowski/pioneer'>Mein Fork</a> enthält einen Mod des Spiels, der sich insbesondere auf ökonomische Aspekte bezieht. Ich habe bislang einen Pull Request <a href='https://github.com/pioneerspacesim/pioneer/pull/4960'>eingereicht</a>.</p><br>" +
"<h4>MoMIME</h4>" +
"<p class='justify'>Mein kleiner Beitrag zur <a href='https://sourceforge.net/projects/momime/'>Reimplementation</a> des 4x-Spieleklassikers Master of Magic.<a href='https://www.dropbox.com/sh/yysvmq6p4kmmc18/AABtSPcCpOQG6l6rojBUAQH2a?dl=0'>Veröffentlichung meines Mods in Binärform sowie als Codepatches in meiner Dropbox</a>.</p><br>"
>>
<<set _functions = window.raban.ulFromArrayOfStr(["Softwareentwickler"])>>
<<set _it = window.raban.ulFromArrayOfStr(["C++", "make", "Java", "Swing"])>>
<</silently>> \
\
<<projectView setup.dcss_title setup.dcss_period _context _functions _it>><<silently>>
<<set _context =
"<p class='justify'>Die <a href='https://www.velian.de/'>velian GmbH</a> ist ein kleines IT-Unternehmen in Braunschweig. Bei diesem Einsatz war ich für die Abnahme von Software vor der Auslieferung an den Kunden und Feedback an das Entwicklerteam verantwortlich. Weiterhin habe ich mit dem Kunden Abnahmegespräche geführt und beim Requirements-Engineering unterstützt. Darüber hinaus habe ich daran gearbeitet einen Mechanismus zum automatisierten Test graphischer Oberflächen aufzuräumen, zu erweitern und wieder in Betrieb zu nehmen.</p>">>
<<set _functions = window.raban.ulFromArrayOfStr(["Verantwortung für Produktqualität und -Abnahmen"])>>
<<set _it = window.raban.ulFromArrayOfStr(["Ruby", "Capybara mit Selenium", "Docker"])>>
<</silently>> \
\
<<projectView "Qualitätssicherung bei der velian GmbH" "10/2018 – 12/2018" _context _functions _it>><<silently>>
<<set _context =
"<p class='justify'>Ein Museum in Quedlinburg verwaltet die Informationen vieler Ausstellungsstücke in Dateien des Formats Microsoft Word 95. Diese Dateien können mit modernen Word-Versionen nicht mehr geöffnet oder konvertiert werden. Darüber hinaus möchte das Museum niemanden beschäftigen, der die Konvertierung manuell Datei für Datei durchführt.</p>"
+ "<p class='justify follows'>Ich habe daher eine Software entwickelt, die ein ganzes Dateisystem nach Dateien des entsprechenden Formats durchsucht und diese mittels Libre Office in das XHTML-Format konvertiert. Auf der Basis dieses offenen Formats können die Dateien weiterverarbeitet werden.</p>">> wow!! :-)
<<set _functions = window.raban.ulFromArrayOfStr(["Konzeptuelle und technische Entwicklung des Prototypen"])>>
<<set _it = window.raban.ulFromArrayOfStr(["Java", "C/C++", "Libre Office API"])>>
<</silently>> \
\
<<projectView "Konversion alter MS-Word-Dokumente" "01/2018" _context _functions _it>><<silently>>
<<set _context =
"<p class='justify'>Die <a href='https://www.velian.de/'>velian GmbH</a> ist ein kleines IT-Unternehmen in Braunschweig, dass schon seit zehn Jahren Scrum einsetzt. Allerdings blieben die positiven Wirkungen, die durch Scrum bei konsequenter Anwendung zu erwarten sind, seit einiger Zeit nicht nur aus, sondern es waren teils erhebliche Rückschritte zu verzeichnen. Die Stimmung der Belegschaft war entsprechend schlecht.</p>"
+ "<p class='justify follows'>In dieser Situation übernahm ich die Verantwortung für Produktqualität. Meine erste Maßnahme bestand darin der gesamten Belegschaft einen Spielfilm zu zeigen um deutlich zu machen, was umfängliches Commitment bedeutet und dass es dieses braucht, um ehrgeizige Ziele zu erreichen.<!-- - so oder ähnlich bitte eine Erklärung anhängen, sonst klingt das ein bisschen seltsam. Du hast den Leuten ein Video gezeigt und dann?....--> Meine zweite, einen akut Burnout-gefährdeten Mitarbeiter zum Arzt zu schicken. In den nächsten Wochen habe ich mit der Belegschaft an Best Practices in der Softwareentwicklung gearbeitet, habe Reviews durchgeführt und mit dem Product Owner am Backlog gearbeitet. Letzteres hat sehr kurzfristig die Qualität der Sprint-Plannings erheblich verbessert.</p>">>
<<set _functions = window.raban.ulFromArrayOfStr(["Verantwortung für Produktqualität"])>>
<<set _it = window.raban.ulFromArrayOfStr(["Scrum", "Javascript ES6"])>>
<</silently>> \
\
<<projectView "Qualitätssicherung bei der velian GmbH" "10/2017 – 12/2017" _context _functions _it>><<silently>>
<<set _context =
"<p class='justify'>Zur Vereinfachung der Entwicklung von Produkten für alle Geräte, auf denen ein moderner Webbrowser ausführbar ist, ist es sinnvoll technische Lösungen zu verwenden, die auf verschiedenen Plattformen ausgeliefert werden können, wobei die Codebase im Idealfall gleich ist. Phonegap liefert dafür eine brauchbare Lösung. Die Anwendungslogik wird in Javascript geschrieben und HTML 5 mit CSS dargestellt. Daher kann Sie sowohl auf einer Website , z.B. eingebettet in WordPress, als auch mittels Phonegap sowohl auf iOS- als auch auf Android-Geräten ausgeliefert werden.</p>"
+ "<p class='justify follows'>Da ich die Umsetzung einer ganz bestimmten Art mehrerer Apps plane, die in einer Nische angesiedelt sein werden, habe ich für diesen Zweck ein Framework in Javascript entwickelt und einen freien html-/Javascript-Generator für meine Zwecke erweitert.</p>"
+ "<p class='justify follows'>Während die erste App in Entwicklung ist, erweitere ich nach dem Pull-Prinzip mein Framework.</p>">>
<<set _functions = window.raban.ul(window.raban.li("alles von der Produktvision, über die Frameworkkonzeption und -Entwicklung bis zum Test"))>>
<<set _it = window.raban.ul(window.raban.li("Javascript ES6, HTML 5, CSS 3"))>>
<</silently>> \
\
<<projectView "Produktframework für Webapps" "2016 - 2018" _context _functions _it>><<silently>>
<<set _context =
"<p class='justify'>Ich erfüllte die Rolle des Systemverantwortlichen für die Entwicklung Mobiler Onlinedienste für die Plugin-Hybriden der Marke Volkswagen, (Model Golf und Passat) für die Märkte EU und China. Da Volkswagen hinsichtlich der Entwicklung der Mobilen Onlinedienste für Plugin-Hybriden die Lead-Entwicklung im Konzern zufiel, gehörte auch die Abstimmung mit Audi bezüglich dem Audi A3 Plugin-Hybriden zu meinen Aufgaben.</p>">>
<<set _functions =
window.raban.ul(
window.raban.li("Definition des Systems unter Bezug auf die Spezifikationen der Funktionsverantwortlichen und Erstellung des Systemlastenhefts") +
window.raban.li("Modellierung verschachtelter Finite State Machines für Frontend, Backend und Fahrzeug-Bauteil") +
window.raban.li("Arbeit an und Abstimmung von Technischen Produktbeschreibungen als Grundlage für Aufwandsschätzungen") +
window.raban.li("Erstellung und Pflege des Systemplans im Rahmen des Produktentstehungsprozesses (VW-PEP-48)") +
window.raban.li("Kommunikation und Abstimmung mit anderen Organisationseinheiten, Partnern (insbesondere Audi) und Zulieferern") +
window.raban.li("Sicherstellung der Systemtests von der Spezifikation bis zur Umsetzung") +
window.raban.li("Inbetriebnahme und Erprobung des Systems")
)>>
<<set _it = window.raban.ul(window.raban.li("Anwendung von Doors und Enterprise Architect"))>>
<</silently>> \
\
<<projectView "Technische Teilprojektleitung in der Fahrzeugserienentwicklung" "07/2012 – 09/2013" _context _functions _it>><<silently>>
<<set _context = "<p class='justify'>Ich habe für die Durchführung von Scrum-Trainings mit LEGO-Bausteinen einen deutschsprachigen Leitfaden geschrieben. Dabei habe ich mich an den Erfahrungen von namhaften Agilen Coaches, wie z.B. Alexey Krivitsky, orientiert. Darüber hinaus habe ich mehrere solcher Trainings durchgeführt und meine Erfahrungen festgehalten.</p>">>
<<set _functions =
window.raban.ul(
window.raban.li("Recherche und Verfassen des Papers") +
window.raban.li("Organisation und Durchführung von In-house und externen Scrum Trainings mit LEGO, unter anderem bei der „AppFactory“ von Volkswagen")
)>>
<</silently>> \
\
<<projectView "Scrum LEGO Game" "03/2012 – 06/2012" _context _functions>><<silently>>
<<set _context = "<p class='justify'>Basis des Projekts war der native Android Pdf Viewer (APV) von google. Laut Anforderung des Kunden App Factory der Volkswagen AG wurde der Viewer so erweitert, so dass auch Dokumente vom Arbeitsspeicher gelesen und angezeigt werden können. Ursprünglich unterstützt APV lediglich das Laden und Anzeigen von Dokumenten vom Dateisystem des Geräts.</p>">>
<<set _functions =
window.raban.ul(
window.raban.li("PDF-Dokumente direkt vom Speicher aus parsen können, ohne sie vorher im Dateisystem, z.B. auf der SD-Karte, gespeichert zu haben") +
window.raban.li("Speicherverwaltung zwischen Java und C über das Java Native Interface") +
window.raban.li("Bei großen Dokumenten \„Out of Memory\“ vehindern")
)>>
<<set _it =
window.raban.ul(
window.raban.li("C, Java") +
window.raban.li("Android SDK / NDK, Java Native Interface (JNI)") +
window.raban.li("Eclipse CDT / JDT") +
window.raban.li("APV / MuPDF / Fitz graphics library")
)>>
<</silently>> \
\
<<projectView "Android native PDF Viewer" "01/2012 - 03/2012" _context _functions _it>><<silently>>
<<set _context =
"<p class='justify'>Entwicklung eines Prototypen für die App Factory der Volkswagen AG. Die Software verhindert, dass auf ein Android-Gerät heruntergeladene Dokumente nach Beendigung der Applikation oder einem automatischen Logout, auf dem Gerät noch angezeigt werden können.</p>" +
"<p class='justify follows'>Hintergrund ist die Gefahr, dass mobile Geräte verloren und von unbefugten Personen verwendet werden können. Diese Personen dürfen auf geheime Informationen keinen Zugriff erhalten, selbst wenn das Gerät nicht gesperrt ist.</p>">>
<<set _functions =
window.raban.ul(
window.raban.li("Evaluierung der Möglichkeiten unter Android, Dokumente anzuzeigen und danach automatisiert unlesbar zu machen") +
window.raban.li("Automatischer Logout führt dazu, dass zuvor angezeigte Dokumente nicht mehr angezeigt werden können") +
window.raban.li("Ausschluss von \„gerooteten\“ Geräten: Ich habe Geräte mit \„root-Rechten\“ als das größte Sicherheitsrisiko identifiziert. Daher dürfen sicherheitsrelevante Apps auf solchen Geräten nicht ausführbar sein.")
)>>
<<set _it =
window.raban.ul(
window.raban.li("Java") +
window.raban.li("Android SDK") +
window.raban.li("Eclipse")
)>>
<</silently>> \
\
<<projectView "Android Security" "01/2012" _context _functions _it>><<silently>>
<<set _context =
"<p class='justify'>Entwicklung an einem Navigationssystem für PKW für die Firma <a href='https://www.neusoft.com/'>Neusoft Technology Solutions GmbH</a>. Zu den Endkunden zählen hauptsächlich, allerdings nicht ausschließlich, BWM und Daimler, die die Software in ihre Fahrzeugmittelkonsolen (Head Units) integrieren. Die Software verwendet GPS und Fahrzeugtelemetriedaten zur Positionsbestimmung des PKW, und überträgt diese auf eine digitale Karte, um die Straßenposition und Fahrzeugausrichtung näherungsweise zu bestimmen. Anhand der Zieleingabe des Nutzers werden eine oder mehrere (Alternativ-)Routen berechnet, wovon dann eine geführt wird. Stellt die Positionierung eine Abweichung von einer geführten Route fest, führt dies zur automatischen Routen-Neuberechnung und Anpassung der Zielführung. Traffic Information (z.B. TMC) und Wetternachrichten werden ebenfalls optional berücksichtigt. Darüber hinaus existieren Ansätze zu einer lernenden Navigation, die Routenberechnung und Zielführung an die Gewohnheiten des Fahrers anpassen.</p>" +
"<p class='justify follows'>Der Anspruch der Endkunden lautet, eine bessere Navigationsqualität als Google und vergleichbare Konkurrenten zu liefern, deren Geräte nicht fest in das Fahrzeug integriert sind.</p>">>
<<set _functions =
window.raban.ul(
window.raban.li("Spezifikation, Modellierung und Implementation von Blackboxtests für Zustandstransitionen des Navigationssystems: Test der so genannten SysOnOff-Schnittstelle unter Nutzung von DevQEngine") +
window.raban.li("Ticketbearbeitung: Analyse, Klassifikation und Dokumentation von Bugreports (ELVIS, NICE, Istanbul)") +
window.raban.li("Dokumentation von Guidelines zur Logdateianalyse und zur Reproduktion von Bugs für die Teams Guidance und Routing, inklusive Kriterien zur Abgrenzung vom GuidanceViewer im hausinternen Wiki") +
window.raban.li("Bugfixing in der Guidance") +
window.raban.li("Bugfixing am hausinternen Tool NICE (Navigation Integrated Component Environment)")
)>>
<<set _it =
window.raban.ul(
window.raban.li("C++ (Navigationssystem), C# (Toolentwicklung)") +
window.raban.li("Visual Studio 2005/2008/2010 C++ / C# mit Visual Assist X") +
window.raban.li("Perforce (Versionsverwaltung)") +
window.raban.li("Harman/Becker ELVIS (Ticketworkflowsystem), JAM (Buildtool), DevQEngine-Testframework") +
window.raban.li("Tools zur Routen- und Kartenanalyse: Harman/Becker NICE, Istanbul") +
window.raban.li("Harman/Becker MoCCA-Framework (Modular Car Computing Architecture)")
)>>
<</silently>> \
\
<<projectView "Automotive Navigation" "07/2011 – 03/2012" _context _functions _it>><<silently>>
<<set _context =
"<p class='justify'>Entwicklung eines innovativen Auswertungs- und Expertensystems für die Optimierung der Wartbarkeit von Postsortiermaschinen in Zusammenarbeit mit der Siemens Electrocom GmbH Berlin und der Elbau GmbH für den Endkunden U.S. Postal Service.</p>" +
"<p class='justify follows'>Das Projektziel bestand darin, eine Software für Experten in der Wartung von Postsortiermaschinen zu entwickeln, die eine Wartungsintervall-Optimierung ermöglicht. Diese Software wurde gemeinsam mit der Projektleitung der Siemens Electrocom entworfen und durch die velian GmbH realisiert. Insbesondere besteht ein Hauptaugenmerk auf der Prototypentwicklung und Test der Anwendung in realen Szenarien, sowie auf der Entwicklung von mathematischen Algorithmen die kritische Punkte im Aufbau der Sortiermaschinen ermitteln kann. </p>" +
"<p class='justify follows'>Die Grundlage für die Datenaggregation bietet ein mit Sensoren ausgestatteter Testbrief (sog. \„D-Letter\“), der innerhalb eines Durchlaufs durch die Sortiermaschine sämtliche Beschleunigungsdaten und Abschnitte per Lichtschrankensensoren und Abstandssensoren aufzeichnet. Über ein definiertes USB-Protokoll werden diese Daten softwareseitig ausgelesen und visuell aufbereitet.</p>">>
<<set _functions =
window.raban.ulFromArrayOfStr([
"Scrum Master",
"Grafisches Analysewerkzeug zur logischen Auswertung von Sensorinformationen",
"Softwarearchitektur",
"Testgetriebene Entwicklung des Backends",
"Verantwortung für die Datenaufbereitung, -Auswertung und -Analyse"])>>
<<set _it =
window.raban.ulFromArrayOfStr([
"C++",
"Eclipse CDT 3.3",
"MinGW",
"CppUnit, libusb, Qt",
"Git, Subversion (SVN)",
"Zielplattformen: Windows und Linux"])>>
<</silently>> \
\
<<projectView "Auswertungs- und Expertensystem" "03/2009 – 06/2011" _context _functions _it>><<silently>>
<<set _context =
"<p class='justify'>Grafisches Analyse- und Berichtswerkzeug zur Beurteilung der Produkt- und Variantenkomplexität von Volkswagen. Das fachliche Ziel bestand darin, dem Konsumenten als Endkunden mit möglichst wenig Produktsorten, eine möglichst große Variantenvielfalt für mögliche Fahrzeugkonfigurationen anbieten zu können.</p>" +
"<p class='justify follows'>Der Hauptaugenmerk lag in diesem Projekt auf der performanten Verarbeitung von großen Datenmengen und die sinnvolle Benutzerführung, sowie der Datenvisualisierung. Das System generiert automatisiert Berichte, die Entscheidern eine wichtige Grundlage für die Variantenoptimierung bieten.</p>" +
"<p class='justify follows'>Das System bietet darüber hinaus eine sehr hohe Datensicherheit durch asymmetrische Verschlüsselung der Daten, damit diese auch gesichert außerhalb der Unternehmensgrenzen genutzt werden können.</p>">>
<<set _functions =
window.raban.ulFromArrayOfStr([
"Projektleitung (Scrum Product Owner)",
"Konzeption",
"Architektur und Entwicklung am Front- und Backend"])>>
<<set _it =
window.raban.ulFromArrayOfStr([
"Java, Swing",
"Eclipse 3.x, Junit, Ant, Subversion (SVN)",
"Hibernate, Hypersonic, H2"])>>
<</silently>> \
\
<<projectView "Automotive Variantenmanagementsoftware" "03/2008 – 04/2011" _context _functions _it>><<silently>>
<<set _context =
"<p class='justify'>Entwicklung einer Zwei-Finger-Steuerung für einen kapazitiven Touchscreen des Herstellers Zytronic. Es handelte sich um einen Prototypen zur Erforschung der Bedienbarkeit von Fahrzeugmittelkonsolen (Head Units) mit zwei Fingern, um bestimmte Gesten wie z.B. Zooming einfach umsetzbar zu machen. Der ursprünglich vom Anbieter bereitgestellte Treiber unterstützte lediglich die Steuerung mit einem Finger.</p>" +
"<p class='justify follows'>In diesem Rahmen wurde eine Client-/Server-Architektur und eine Entwickler-API als SOA entwickelt, um den von uns entwickelten Userspace-USB-Treiber durch die Software Dritter ansteuern zu können.</p>">>
<<set _functions =
window.raban.ulFromArrayOfStr([
"Projektleitung",
"Machbarkeitsanalyse",
"Konzeption, Spezifikation, Architektur, Entwicklung und Test"])>>
<<set _it =
window.raban.ulFromArrayOfStr([
"C++, STL, Boost, libusb, CppUnit",
"MinGW, Codeblocks, Subversion (SVN)"])>>
<</silently>> \
\
<<projectView "Automotive F&E Touchscreen" "04/2008 – 09/2008" _context _functions _it>><<silently>>
<<set _context =
"<p class='justify'>Entwicklung einer integrativen Kommunikationsbasis für heterogene Softwaresysteme zur Tool-Integration im Rahmen des <a href='https://web.archive.org/web/20160305051337/http://speeds.eu.com/'>EU-Projekts SPEEDS</a> für die Extessy AG. Der Fokus in diesem Projekt lag bei der Spezifikation und Umsetzung des gesamten Kommunikationsbackends in Form eines Enterprise-Service-Bus, sowie die Spezifikation und Implementation einer API für die Toolentwickler. Weiterhin wurde ein prototypisches Beispiel bereitgestellt um die Anwendung MATLAB exemplarisch in diese Kommunikationsarchitektur einzubinden, indem per JNI eine native Bibliothek für die API entwickelt wurde. Diese Anwendung ermöglichte die toolgesteuerte Automatisierung der Anwendung Simulink. Weiteres Ziel war die Spezifikation des gesamten Datenprotokolls für die Toolautomatisierung.</p>">>
<<set _functions =
window.raban.ulFromArrayOfStr([
"Spezifikation, Architektur, Entwicklung und Test des Enterprise Service Bus",
"Verantwortung für die Schnittstelle und das Backend, inklusive englischsprachiger technischer Dokumentation"])>>
<<set _it =
window.raban.ulFromArrayOfStr([
"C++, STL, Boost, CppUnit",
"Java, Java Native Interface (JNI), Junit, RMI",
"MS Visual Studio C++ 2008, Eclipse 3.x (JDT), Codeblocks, MinGW, Subversion (SVN)"])>>
<</silently>> \
\
<<projectView "Integration heterogener Softwaresysteme" "08/2007 - 06/2008" _context _functions _it>><<silently>>
<<set _context =
"<p class='justify'>Entwicklung einer Internet-Handelsplattform zur Bündelung des Marktangebots von Konsumgüterproduzenten. Schwerpunkte wurden insbesondere in den Serviceleistungen gesetzt.</p>">>
<<set _functions = window.raban.ulFromArrayOfStr(["Backendarchitektur, -Entwicklung und Test"])>>
<<set _it =
window.raban.ulFromArrayOfStr([
"JavaEE / EJB 2.1 auf JBoss 4.x, Java Beans, Java Enterprise Beans",
"Eclipse 3.x",
"Hibernate, PostgreSQL, Hypersonic",
"Subversion (SVN)"])>>
<</silently>> \
\
<<projectView "Plattform für eCommerce" "07/2006 - 08/2007" _context _functions _it>><<silently>>
<<set _context =
"<p class='justify'>Entwicklung eines Expertensystems zur Schraubstellenauslegung für die Volkswagen AG. Dieses Tool berücksichtigt zur Auswertung alle Schrauben der DIN und alle Volkswagen-genormten. Es unterstützt Experten anhand technischer und ökonomischer Parameter in der Fahrzeugkonstruktion bei der Wahl der geeignetsten Schrauben.</p>">>
<<set _functions =
window.raban.ulFromArrayOfStr([
"Systemarchitektur",
"Entwicklung und Test des Backends"])>>
<<set _it =
window.raban.ulFromArrayOfStr([
"Java SE, Swing, Junit",
"Eclipse 3.x, Subversion (SVN)"])>>
<</silently>> \
\
<<projectView "Automotives Expertensystem zur Schraubstellenauslegung" "10/2005 – 03/2006" _context _functions _it>><<silently>>
<<set _context =
"<p class='justify'>Ich war vier Semester als Tutor für Prof. Dr. Ey an der University of Applied Sciences Ostfalia tätig. Von 10/2004 – 01/2005 und 10/2005 – 01/2006 in „Ausgewählte Kapitel der Programmierung“ mit der Programmiersprache Java. Von 03/2005 – 06/2005 und 03/2006 – 06/2006 im Wahlpflichtkurs „Einführung in C++“.</p>">>
<<set _functions =
window.raban.ulFromArrayOfStr([
"Entwickeln und Korrigieren von Übungsaufgaben",
"Unterstützung der Studenten in den Übungsstunden",
"Gemeinschaftliche Konzeption des Wahlpflichtkurses \„Einführung in C++\“ mit Prof. Dr. Ey"])>>
<<set _it =
window.raban.ulFromArrayOfStr([
"Java SE, Swing, Eclipse 3.x",
"C++, STL, Boost, Codeblocks"])>>
<</silently>> \
\
<<projectView "Tutor im Hochschulkontext" "10/2004 – 06/2006" _context _functions _it>><<silently>>
<<set _context =
"<p class='justify'>Entwicklung an einer Umsetzung des betriebswirtschaftlichen Konzepts der Balanced Scorecard für die Sinus Software und Consulting GmbH.</p>">>
<<set _functions =
window.raban.ulFromArrayOfStr([
"Systemarchitektur",
"Weiterentwicklung und Test der Applikation"])>>
<<set _it =
window.raban.ulFromArrayOfStr([
"Java SE, SWT",
"Eclipse 3.x, Subversion (SVN)",
"MySQL, JDBC"])>>
<</silently>> \
\
<<projectView "Software Balanced Scorecard" "09/2004 – 08/2005" _context _functions _it>><<silently>>
<<set _context =
"<p class='justify'>Freizeitliche Entwicklung an diversen Prototypen für ein Weltraum-Strategie-Videospiel mit <a href='https://sourceforge.net/projects/binrevengine/'>binary revolution</a>.</p>">>
<<set _functions =
window.raban.ulFromArrayOfStr([
"Konzeption, Systemarchitektur, Entwicklung",
"3D-Model-Definition mit XML-Schema",
"3D-Model-Import und -Verarbeitung, Texturenverarbeitung",
"Szenenrenderingmethoden"])>>
<<set _it =
window.raban.ulFromArrayOfStr([
"C++, STL, Boost, CppUnit",
"Codeblocks, Eclipse 3.x",
"Subversion (SVN)",
"OpenGL"])>>
<</silently>> \
\
<<projectView "Videospielentwicklung" "08/2001 – 01/2006" _context _functions _it>>