About Me
I'm an intellectually curious problem-solver with a PhD in machine learning (ML) from TU Berlin and 13+ years of experience translating complex business problems into well-architected software and AI solutions — creating clarity from concept to code.
I've worked across a variety of domains in research and industry contexts (see CV), thriving as an individual contributor, team lead, and consultant. Today, I help smaller organizations build custom software that fits their domain, with AI coding agents doing most of the typing (see my offer).
Get in touch if you'd like to collaborate!
When I'm not curled up on the couch with a good book and my two cats, I'm passionate about:
- Refactoring Socio-Technical Systems: Streamlining (i.e., simplifying, restructuring, and automating) processes and code to help companies scale and grow their business with ease and foster operational excellence. At alcemy, for instance, I halved customer data integration time (from 50 to 25 days) through targeted code refactoring and process improvements.
- Developing Software Products: Discovering user needs and building applications to address them, from design to deployment. Increasingly by orchestrating AI coding agents, like for Open Return, an AI-powered trip planner I co-founded and rebuilt from scratch.
- Teaching & Mentoring: Empowering others to build software with confidence and clarity, from junior developers to vibe coders ready to level up, through courses, books, 1:1 coaching, and feedback on their work.
- Being a Data Detective: Discovering patterns in complex datasets, crafting insightful data visualizations to guide decision-making, and building ML models that capture the true relationships between variables. My sweet spot is tabular and time series data—like sensor measurements from the process industry for predictive quality applications—where deep domain understanding makes all the difference.
Furthermore, I strongly believe that contributing to open source & open knowledge benefits everyone, which is why I've written two free online books, Clarity-Driven Development of Scientific Software and A Practitioner's Guide to Machine Learning.