Tech Stack
What I work with
A mix of scientific methods and modern web tooling — here's the toolbox.
Math & Methods
I'm drawn to machine learning, data science and numerical methods — with a special focus on optimization and inference. That's the core of how I approach problems: model it, then let the math find the answer.
Physics
I studied physics end to end, so the foundational competencies — modelling, analysis, and the mathematical machinery behind them — are second nature. It's the lens I bring to every technical problem.
Frontend
I build interfaces with React and TypeScript, and I'm at home with interactive 3D in the browser via three.js.
- React
- TypeScript
- three.js
Backend
On the backend it's Python with FastAPI, and for the numerical heavy lifting JAX, NumPy, SciPy and scikit-learn — the usual scientific stack.
- Python
- FastAPI
- JAX
- NumPy
- SciPy
- scikit-learn