Blog posts

What am i doing?

2024 - Back at CEMEF to start a PhD on ML+CFD
2020/21 - 2024 Flaneer: built a startup providing computer in the cloud for the creative industry (as the CTO). We raised $1.4M, grew to team to 8 people and served up to 10k users daily.
2019-2021 MCs at MINES Paristech. I spent some time doing internships with Amazon (formerly the A9 team) in 2019 in SF working on the first deep learning models for Learning to Rank, Artefact in China, CNRS and Microsoft. Spent my last year at MINES Paristech mostly working on a startup project: Flaneer.
2017 - 2019 BSc at MINES Paristech, where I started working on Deep Reinforcement Learning. Worked with Elie Hachem to apply DRL to Fluid Mechanics.
2015 - 2017 Prep. school at Ginette, doing mostly math and physics.

Resume available here.

Narya, allows you to track soccer player from camera inputs, and evaluate them with an Expected Discounted Goal (EDG) Agent trained on a FIFA-like environment.
Deepfluid, a library for Deep Reinforcement Learning applied to fluid mechanics.
MeshGradientPy lets you compute particular field gradient on a mesh, and makes them compatible with Machine Learning tensors.
TwitchAI let's you scrap a twitch chat, and then apply NLP models on it.
Small project wondering how to make parking place prices evolve in Paris.
I also spent a lot of time building bots for computer games competition.