Damien Allonsius is a machine learning software engineer with eight years of experience bridging deep research and production ML, currently working on Llama post-training at Meta. He brings a strong theoretical foundation from a PhD in applied mathematics and postdoctoral research in reinforcement learning to pragmatic model tuning and deployment. Prior roles as a data scientist at Qwant Research and Vulog sharpened his applied ML and data engineering skills across search and mobility domains. Damien’s background in control theory, numerical analysis and stochastic calculus gives him a rare ability to reason about model behavior and optimization beyond standard ML tooling. Based in France and fluent in both research and engineering cultures, he excels at turning sophisticated mathematical ideas into scalable systems.
8 years of coding experience
4 years of employment as a software developer
Mathématiques, Honors, Mathématiques, Honors at École normale supérieure Paris-Saclay
Master's degree - Mathematical Tripos Part III - Saint Edmund's College, Pure & applied Mathematics, Master's degree - Mathematical Tripos Part III - Saint Edmund's College, Pure & applied Mathematics at University of Cambridge
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at Aix-Marseille Université
General Engineering. Specialisation : Applied Mathematics, Software Engineering, General Engineering. Specialisation : Applied Mathematics, Software Engineering at Ecole centrale de Lyon
Contributions:6 pushes, 2 branches, 1 comment in 3 years 10 months
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Damien Allonsius - ML SWE - Llama Post Training at Meta