I'm a technical leader with a strong product mindset and a PhD in machine learning (ML) from the TU Berlin (Germany).
With 11+ years of experience in data science and software engineering, I've developed data and software products in research and industry contexts, thriving as an individual contributor, consultant, and manager.
Have a look at my CV and feel free to reach out 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 you scale and grow your 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.
- Mentoring Junior Developers: Empowering others to code with confidence and clarity, through structured teaching efforts, 1:1 coaching sessions, and ongoing code reviews.
- Developing Software Products: Building applications, from design to deployment. Especially data-heavy web apps including MLOps pipelines to monitor for data drifts and retrain models automatically.
- Being a Data Detective: Discovering patterns in complex datasets, crafting insightful data visualizations to guide decision-making, and improving ML model accuracy. I work primarily with tabular and time series data, such as sensor measurements from the process industry or manufacturing, often for predictive quality and control or predictive maintenance use cases.
Furthermore, I strongly believe that contributing to open source & open knowledge benefits everyone, which is why I've written two free online books, Research Software Engineering: A Primer (WIP!) and A Practitioner's Guide to Machine Learning.