Emilien Fugier is a research engineer with 8 years of experience building and deploying machine learning systems, currently focused on model research and engineering at Mistral AI. He has applied ML and software engineering to fraud detection and content moderation at scale, shipping production models, real-time moderation tools powered by LLM similarity, and leading AWS cost-reduction efforts that saved 100k+ in 2023. Emilien’s background blends research and production: from NLP explainability work with BERT-like models to recommendation and big-data engineering at Deezer, giving him fluency across model development, MLOps and backend systems. Comfortable in high-pressure incidents, he has handled critical provider outages and driven architectural and testing improvements to increase system stability. Trained at UTC in machine learning and optimization, he pairs rigorous academic foundations with pragmatic, data-centric product delivery.
8 years of coding experience
5 years of employment as a software developer
Baccalauréat (A-level) Scientifique, Baccalauréat (A-level) Scientifique at École des Pupilles de l'Air
Master's degree Machine learning and optimisation of complex systems, Master's degree Machine learning and optimisation of complex systems at Université de Technologie de Compiègne (UTC)
Contributions:68 pushes, 1 branch in 3 years 9 months
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