Senior Applied AI Engineer
Working at the intersection of model design, optimization, and deployment to take research-grade ideas into production.
Bio
I build AI systems that companies can run in production and answer for.
I founded AKIOUD AI in Paris in 2024. We help organizations take AI into production and build the infrastructure that keeps it under control: Akios, an open-source runtime that sandboxes AI agents, and tooling for the evidence that the EU AI Act and GDPR require. I have spent 12 years in production machine learning, six of them at Société Générale, from data scientist to lead.
I work in the open. I run Frontier on Cloud, communities that publish measured, reproducible tests of cloud AI products, and I explore GPU kernels, language-grounded robotics, neural signal decoding and quantum optimization as open projects, each with its code and its limits.
Core stack
Academic background
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Engineering degree in Data Science — ENSAI (2012–2014)
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Engineering degree in Computer Science and Applied Mathematics — FSTT (2007–2012)