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AI Integration Specialist, Software Engineer, and -Architect ... in the Railway Sector. Formerly Tech Lead and Product Manager in insurance and web. Hobby: data science.
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Assessing your cultural and operational fit
Software Architect / Product Owner with deep experience in web technology, now pivoting to use my methodical skills in software for effective altruism or efficient transportation, that is railways.
Technische Universität Berlin
Verkehrswesen, Spezialisierung Schienenverkehr
January 1, 2025 – January 1, 2026
University of Toronto
Master of Science (MSc), Computer Science
January 1, 2007 – January 1, 2010
Technische Universität Ilmenau
Dipl.-Inf., Informatics
January 1, 2000 – January 1, 2004
FRIDAY Insurance
Staff Software Engineer
March 1, 2023 – February 1, 2025
Berlin, Germany · Hybrid
FRIDAY Versicherung
Backend and Infrastructure Developer
April 1, 2018 – January 1, 2023
Berlin Metropolitan Area · Hybrid
Funke Digital
Software Engineer
September 1, 2017 – March 1, 2018
Berlin
Scout24 Group
Big Data Engineer
May 1, 2015 – July 1, 2017
Berlin Metropolitan Area
ImmobilienScout24
Software Quality Engineer
February 1, 2014 – April 1, 2015
Software Engineer in Test
May 1, 2013 – October 1, 2013
Greater Paris Metropolitan Region
ImmobilienScout24
Software Architect & Test Engineer
May 1, 2012 – March 1, 2013
ImmobilienScout24
Test Engineer
February 1, 2011 – March 1, 2013
Berliner Verkehrsbetriebe A.ö.R
Application Manager & Business Analyst
July 1, 2010 – December 1, 2010
Berlin, Germany
ITE computence GmbH
SAP Consultant Banking
July 1, 2005 – June 1, 2007
Frankfurt, Hamburg, Berlin
LORIA, Laboratoire Lorrain de Recherche en Informatique et ses Applications
research intern
September 1, 2002 – August 1, 2003
Greater Nancy Area
Machine Learning
Coursera Course Certificates
June 30, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background, including roles in software engineering, big data, quality assurance, and even SAP consulting. Their experience spans multiple companies and industries (insurance, media, real estate, public transport, banking), indicating adaptability. The target role of ML Engineer aligns with their 'Big Data Engineer' experience and certification in Machine Learning, suggesting a clear career trajectory towards data-intensive and ML-focused roles. However, the most recent roles have been more focused on general software engineering and technical leadership rather than deep ML specialization, which might require some adjustment.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, initiative, and problem-solving skills, often taking on responsibilities beyond their nominal role (e.g., SCRUM-master, product analysis). Their ability to drive cross-team projects and mentor others suggests a good operational fit for senior roles. The focus on incremental delivery and improving build pipelines indicates a pragmatic approach to software development and operational efficiency.