I am based in Maastricht, Netherlands, and expect to complete my M.Sc. in Data Science in September 2026.
My interests sit between statistical machine learning and software systems. I enjoy problems where a model must do more than produce a plausible answer: it must operate under constraints, expose uncertainty, integrate with existing infrastructure, and behave reliably.
At Amazon, I worked on production demand forecasting for North American fulfillment operations. At PwC, I developed an AI-assisted classification pipeline for EU Deforestation Regulation compliance. I also teach and mentor students in natural language processing, programming languages, linear programming, debugging, and software engineering.
Technical interests
- Time-series forecasting and uncertainty quantification
- Large language models and agentic systems
- Static analysis, compilers, and symbolic reasoning
- Distributed systems and AI infrastructure
- Autonomous intelligent systems
Tools
Python, Rust, Java, SQL, C++, Z3, vLLM, PostgreSQL, and Linux.