Ludovic Carre is a Machine Learning Engineer with 10 years’ experience building applied deep learning and reinforcement learning systems across defense, energy, and stealth AI/robotics startups. Currently at HYPR he leads end-to-end neural net training work for an early-stage AI/robotics product after driving radar video recognition, multi-agent RL for 5G and autonomous systems, and planning/regret-minimization research at Thales. He combines strong mathematical foundations from a Grenoble MS with hands-on production optimization (Jetson deployments, embedded demos) and a knack for spotting signal in noisy loss landscapes. Comfortable across research and engineering, he has collaborated with labs and industry partners (EDF, Sinclair Lab) on non-stationary multi-agent problems. A Vim and Archlinux enthusiast who jokes that his tools don’t love him back, he brings both pragmatic engineering and curious, systems-level thinking to hard ML problems.
10 years of coding experience
5 years of employment as a software developer
Master of Science (M.S), Mathematics and Computer Science, 4.0, Master of Science (M.S), Mathematics and Computer Science, 4.0 at National School of Computer Science and Applied Mathematics of Grenoble
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