Théophile Cantelobre is a machine learning engineer with 11 years of technical experience, combining an engineering degree from Mines Paris and a PhD in ML from Inria & ENS Paris. He has developed and proved ML algorithms for images, time-series and state estimation during his doctoral work, and now applies that research-to-production mindset at Pennylane. His background includes hands-on robotics and teaching experience, reflecting both practical systems skills and an aptitude for mentorship. Active in alumni community life, he balances deep theoretical insight with product-focused engineering—often bridging rigorous proofs with deployable implementations.
11 years of coding experience
Doctor of Philosophy - PhD Informatique, Doctor of Philosophy - PhD Informatique at Ecole normale supérieure
Master of Science - MS Maching learning, Master of Science - MS Maching learning at Sorbonne Université
Master of Science - MSc Engineering & Applied mathematics, Master of Science - MSc Engineering & Applied mathematics at Mines Paris - PSL
Contributions:21 commits, 13 pushes, 1 branch in 29 days
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.
Request Free Trial
Théophile Cantelobre - Machine Learning Engineer at Pennylane