Summary
Elie Bakouch is an ML research engineer based in Paris with three years of hands-on experience focused on pre-training and advancing open science, currently contributing at Hugging Face. With dual MSc training in Machine Learning from PSL Research University and École normale supérieure Paris-Saclay and an engineering background from Télécom SudParis, he combines solid theoretical foundations with practical model training expertise. He specializes in large-scale training workflows and reproducible research practices that bridge academia and production. Elie is motivated by open collaboration and tooling that make state-of-the-art models and datasets more accessible to the community. An often-overlooked strength is his grounding in rigorous maths and engineering from French CPGE and engineering school training, which informs careful experimental design and scalable implementations.
3 years of coding experience
MSc in Machine Learning (MVA), MSc in Machine Learning (MVA) at École normale supérieure Paris-Saclay
Classes préparatoires aux grandes écoles (CPGE), PCSI/PC, Classes préparatoires aux grandes écoles (CPGE), PCSI/PC at Lycée La Martinière Monplaisir
Master of Science (MSc), Diplôme d'Ingénieur, Mathematics and Computer Science, Master of Science (MSc), Diplôme d'Ingénieur, Mathematics and Computer Science at Télécom SudParis
Classes préparatoires aux grandes écoles (CPGE), PC*, Classes préparatoires aux grandes écoles (CPGE), PC* at Lycée Paul Cézanne
Institut Polytechnique de Paris
MSc in Machine Learning (MASH), MSc in Machine Learning (MASH) at PSL Research University
French, English