From vision research
to product in prod.
10 years of coding at the intersection of research, industry and product.
I started in 2015 with applied computer vision and deep learning at a research lab in La Rochelle. My first IEEE papers were on B&W image colorization and face recognition in the visible+infrared domain.
After 4 years, I gradually moved to web development — first out of curiosity, then because I particularly enjoy the product rhythm: watching a design become a commit, become a feature used by real people in a matter of weeks.
Today I work at Okeenea on Evelity, an urban accessibility app for visually impaired / deaf / mobility-restricted users, as well as on Evelity Vision, a visual SLAM indoor localization system that I designed and shipped in 8 months.
Technically, I'm as comfortable with industrial Java/Spring as with data-heavy Python or low-level C++. On the front side it's React, TypeScript, Vite. I value tested code, constructive reviews, demanding CI pipelines — not as dogma, but because they save time over the long run.
Outside work, I do a lot of side-projects (see /en/projects), often as an excuse to learn a new technology or automate something tedious.
Academic path
Academic research
4 computer-vision papers published in IEEE and EUVIP conferences between 2018 and 2020, co-authored with Bernard Besserer.