Mathis Lambert is an R&D Engineer on Free Pro’s AI Research team with four years of hands-on experience designing and deploying production-grade LLM workflows, agentic pipelines, and GPU-optimized inference on NVIDIA H100/L40S clusters. Currently an engineering student at CPE Lyon in an integrated work-study program, he bridges research and production—building retrieval-augmented systems, tool-calling agents, and safety-enforced pipelines while managing full-stack services and data infrastructure (Postgres, MongoDB, Qdrant). He brings practical HPC and DevOps chops—vLLM, LlamaCPP, Docker, GitLab CI, and Slurm—plus model tuning experience (SFT, DPO, LoRA) that accelerates prototype-to-prod cycles. Based in Marseille, he pairs creative past work in web and 3D design with robotics and edge ML projects (DepthAI/Raspberry Pi), showing an unusual blend of system-level optimization and product-facing implementation. Open to a 3-month Generative AI R&D internship for Summer 2026, he’s particularly strong at turning complex ML research into scalable, policy-compliant customer automation.
Baccalauréat scientifique Ingénieur, Mathématiques et informatique, Baccalauréat scientifique Ingénieur, Mathématiques et informatique at Lycée Joliot-Curie
Bachelor (BUT) Multimédia et Métiers de l'Internet Développement web, Algorithmique et Programmation, Bachelor (BUT) Multimédia et Métiers de l'Internet Développement web, Algorithmique et Programmation at Université de Toulon
This repository hosts the core API infrastructure for my web services, built with Python and FastAPI. It serves essential utilities and functionalities across all my web services, accessible under api.mathislambert.fr. The goal is to provide a robust and scalable backend for various web applications.
Contributions:1 review, 7 PRs, 69 pushes in 11 months
Visio Conf Fullstack-JS webApplication dedicated to MMI Toulon
Contributions:19 reviews, 35 PRs, 47 pushes in 5 months
full-stackjsvisio
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