Skills

No fake percentage bars here — just what I actually use, grouped by where I use it.

Graph visualization & front-end

The daily bread since 2020: building and maintaining a large TypeScript library that renders and interacts with graphs of hundreds of thousands of elements in the browser.

• JavaScript / TypeScript — the language of my day job and most side projects
• Ogma & graph visualization — rendering, layouts, styling, interactions, export
• Canvas / WebGL / SVG — low-level rendering work
• Vue.js (2 & 3), Vite — UIs for tools and experiments (see boxers-config)
• Node.js, build tooling — scripts, tooling, CI

3D & creative code

Where I come from — WebGL demos, interactive installations and festival hardware.

• three.js / WebGL / shaders — procedural worlds, particles, configurators
• Raspberry Pi, Arduino (C/C++) — sensors, printers, motors, LEDs
• Processing / generative ideas — the fast path between an idea and a screen

Computer vision & AI

My academic roots, still useful for side quests.

• Image processing, skyline & feature extraction — Master's + LIRIS internship
• Neural networks, inference in products — e.g. background removal in a web project
• Python — research-style scripting and experiments

Craft

• Git & code review — daily habit, at every scale from solo to ten-person teams
• Docker, Linux, server ops — deploying and running the things I build
• Design sense — enough to make tools and CVs look like they mean it

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How I work

• Boring is beautiful — prefer the simplest stack that ships
• Measure before optimizing — especially in rendering code
• Prototype fast, then make it solid — installations taught me that deadlines are real