Léo Hunout is a Senior Consultant and AI/HPC engineer with eight years of experience building and scaling large-scale model training on multi-GPU and multi-node systems across research and industry. He has supported thousands of supercomputer users, benchmarked and optimized GPU workloads, and trained/finetuned models like BLOOM, LLAMA and ViT, making pragmatic performance trade-offs to squeeze more throughput from existing clusters. Comfortable at the intersection of research and production, he has delivered embedded vision and ARM-cluster infrastructure projects, taught deep learning and HPC courses, and run community workshops and hackathons. Now consulting for Aneo and Capital Fund Management after roles at CNRS, Inria and MINERVA, he brings a rare combination of hands-on systems engineering, cost-conscious scaling, and user-focused AI support. An engineer who literally “makes GPUs go brrr,” he pairs playful curiosity with measurable impact in compute efficiency and deployment.
8 years of coding experience
5 years of employment as a software developer
Diplôme d'ingénieur, Génie des Systèmes Industriels, Diplôme d'ingénieur, Génie des Systèmes Industriels at l'INSA Centre Val de Loire
Échange Universitaire, Génie Électrique, Échange Universitaire, Génie Électrique at École de technologie supérieure
Contributions:6 PRs, 4 pushes, 5 branches in 1 day
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