The short version, told straight.

I'm Oliver. I install AI inside small businesses, and I build the tools I use to do it. I live in Paris and I am halfway through a master's in AI and data science at Université Paris-Saclay.

Before that I read Computer Science at Charles University in Prague, specialising in machine learning, and graduated with First-Class Honours. My thesis was on procedural terrain generation with fixed points. No machine learning in it at all, as it turns out. The method is constraint propagation: it pushes slope constraints out from the designer's fixed anchors into upper and lower height envelopes using slope-weighted path costs, then fills the gaps and clamps to the envelope so the anchors stay exact. My supervisor extended it into a paper, and it was accepted for oral presentation at IEEE Conference on Games 2026. I am the second author.

I started consulting while studying. First a marketing agency, where I built a retrieval-augmented content system and then spent longer measuring whether the retrieval had done anything than I did building it, which is how I found out that one of the numbers I had already reported was wrong. Then a cybersecurity consultancy, on AI governance and Shadow AI exposure. Then five installs, which is the work I want more of.

The through-line is that I would rather know why something works. Most people selling AI consulting learned the tools. I was taught what is underneath them. Most of the time that changes nothing at all.

Outside work: the gym, running along the Seine, and trying to get my French past B1. Slower going than I'd like.