Mehdi Bahri is a Lead Research Engineer based in London with 11 years of experience bridging academic rigor and product-focused ML research, holding a PhD in Machine Learning from Imperial College London. He specializes in geometric and graph deep learning, 3D vision and multimodal AI, with recent roles at Epic Games driving research engineering from prototype to production. His background spans applied ML across industries—from real-time EEG decoding and content moderation to speech recognition and quantitative trading—which gives him a practical edge in deploying models under real-world constraints. Comfortable in both research and engineering contexts, he has a track record of turning complex mathematical ideas into scalable systems and organizing community initiatives like the LOGML summer school. An under-the-radar strength is his cross-disciplinary fluency in signal processing and geometry, enabling novel solutions at the intersection of 3D perception and multi-modal reasoning.
11 years of coding experience
6 years of employment as a software developer
Master of Science (MSc) Applied Mathematics and Computer Science, Master of Science (MSc) Applied Mathematics and Computer Science at National School of Computer Science and Applied Mathematics of Grenoble
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Imperial College London
Classe préparatoire PC* Mathematics Physics Chemistry, Classe préparatoire PC* Mathematics Physics Chemistry at Lycée Chateaubriand - Rennes
Contributions:10 commits, 12 pushes, 5 branches in 5 years 2 months
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Mehdi Bahri - Lead Research Engineer at Epic Games