Summary
Mathieu Charbonnel is a Deep Learning Scientist based in France with 8 years of experience building and productionizing ML systems, currently scaling sequence models for log analysis at Datadog. He combines an École Polytechnique engineering background and an Imperial College MSc in AI with hands-on work across autonomous driving, face/pose recognition, and ML-powered cloud security. Mathieu has moved between research-grade GANs for medical imaging and robust engineering roles—owning on-call responsibilities for real-time attack detection—showing rare fluency from prototyping to 24/7 production. His interests in logic and philosophy inform a methodical approach to model design and evaluation, and he has a track record of developing multimodal, multitask vision libraries and novel scaling techniques for sequence models.
7 years of coding experience
5 years of employment as a software developer
Bachelor's degree Philosophy, Bachelor's degree Philosophy at Université Paris Nanterre
Preparatory school Mathematics, Preparatory school Mathematics at Lycée Stanislas
Engineering degree Mathematics Algorithmic Economics, Engineering degree Mathematics Algorithmic Economics at École Polytechnique
Master of Science - MS Artificial Intelligence and Machine Learning, Master of Science - MS Artificial Intelligence and Machine Learning at Imperial College London
English, German, French