Timeline
How I got here
From a first line of Java to running the AI platform at Sixt, with everything in between.
The Filament
One line, from age 14
One continuous thread rather than a career of restarts: the same interest, followed from a first line of Java at fourteen to leading the engineers who ship machine learning to production.
- 14
Age at the first line of Java
- 100k+
App Store downloads since
- Sixt
Engineering Manager, AI platform
- Teams
Leading ML engineers since 2022
Timeline entries
Engineering Manager, MLOps & AI Services
Sixt
I lead the AI platform at Sixt, covering MLOps and AI Services, and a team of ML and MLOps engineers. Most of the job is deciding where the platform goes next, for classic ML and for LLMs, and helping the people on the team grow.
MuscleMate - Gym Buddy (iOS App)
App Store
A workout log for iOS: exercises, sets and goals, with progress over time and Firebase sync.
MoneyMate - Expense Tracking (iOS App)
App Store
An iOS expense tracker that sorts spending into categories and shows how it compares with your budget.
MealMate: Protein Meal Plan (iOS App)
App Store
An iOS app for planning meals around a protein target, with plans you can adjust and Firebase storage. Rated 4.8 out of 5.
SpendWise - Mindful Spending (iOS App)
App Store
An iOS app that asks you to pause before you buy something, with small prompts and nudges instead of a budget spreadsheet.
Lead Solution Architect for MLOps and LLMOps
Munich Re (Group), Munich
Architecture for the group-wide MLOps and LLMOps platform and the processes around it. Designed and built a central AI governance process, and advised teams across the company on their solutions.
Tech Lead and MLOps Engineer
DXC Technology, Munich
Tech lead on client projects across several industries, with teams of 5 to 15 DevOps, ML, MLOps and software engineers. Architecture, process work and hands-on implementation, plus workshops for client teams.
MLOps Engineer and Technical Consultant
DXC Technology, Munich
Helped build and co-led an internal MLOps competence centre that grew past 40 full-time engineers. Designed and built MLOps platforms on Azure, AWS and on premises, and owned the internal ML engineering side.
M.Sc. Consulting & Business Analytics
ESB Business School Reutlingen
Final grade 1.3. Thesis on running self-service advanced analytics platforms with MLOps principles.
Building an MLOps platform
DXC Technology, Hamburg
My bachelor thesis: design and build an MLOps platform from open-source parts. The result was a working, automated prototype you could deploy, built on GitHub Actions, Kubeflow on Kubernetes, MLflow, AzureML and Feast.
Semester abroad in Thailand
Mahidol University International College
A term at Mahidol University International College, taught in English.
Dual student at HPE
HPE, Böblingen, Nuremberg, Hamburg, Bristol
Placements in reinforcement learning, face recognition for industrial IoT, technical consulting for mid-sized companies, data-centre lab automation and a security research lab.
B.Sc. Computer Science
Duale Hochschule Baden-Württemberg Stuttgart
Final grade 1.3, top 2% of the year. Thesis on bringing DevOps, MLOps and DataOps practice together to run AI applications in production.
A-Level
Berufliches Gymnasium Technik in Burgdorf
Final grade 1.3, best of the year, at a technical high school.
Volunteering and freelancing
Apps, websites and software, as a freelancer and as a volunteer for clubs, associations and church communities.
First apps on Google Play
Google Play Store
Published my first Android apps by 15. Together they passed 30,000 downloads, which is a big part of why I chose a technical high school.
First line of Java
Started teaching myself Java at 14. Everything else on this page goes back to that.
What's next?
Maybe your project. If you're building something where AI, an app or a website matters, tell me about it.
