Théophane Vallaeys is a PhD student jointly at Meta and Sorbonne University specializing in computer vision and generative models, with a track record of research internships at Meta and contributions to neural compression and data-/compute-efficient multimodal models. With 10 years of experience, he combines strong theoretical foundations from ENS and Dauphine with practical research that advanced retrieval compression SOTA and proposed efficient adaptation mechanisms for pre-trained vision and language backbones. A competitive programmer since his teens—IOI silver medalist (2018) and multiple national and international contest winner—he brings exceptional algorithmic intuition to ML research and tooling. He has contributed to AutoML libraries (neps, metahyper), maintains active personal projects on GitHub (webalorn), and has a habit of turning contest-grade optimizations into scalable research gains.
10 years of coding experience
Diplome de l'ENS Sciences informatiques et de l''information et services apparentés, Diplome de l'ENS Sciences informatiques et de l''information et services apparentés at Ecole normale supérieure
Baccalauréat MP, Baccalauréat MP at CPGE Faidherbe
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at Université Paris Dauphine - PSL
Contributions:114 commits, 61 pushes, 2 branches in 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.