Summary
Loïc Baret is a Data Scientist Engineer with nine years of experience building machine learning solutions and production-ready data workflows, currently applying his skills at Thales in Quebec. He has a strong academic foundation in AI from Université Laval and an engineering degree from ENSC Bordeaux, and a track record that spans language-model tuning, cross-lingual embeddings, and end-to-end ML implementation. Past roles include developing chatbots on Azure, signal-processing and embedded systems work, and rapid prototyping of AI features at startups, reflecting a comfort with both low-level electronics and high-level model design. Known for blending research-minded experimentation (hyperparameter methodologies for word embeddings) with pragmatic engineering, he brings multidisciplinary curiosity and hands-on delivery to complex AI projects.
9 years of coding experience
2 years of employment as a software developer
Master Degree’s in Computer Science - Artificial Intelligence, Information Technology, Master Degree’s in Computer Science - Artificial Intelligence, Information Technology at Université Laval
Baccalauréat général, Sciences, Mention bien, Baccalauréat général, Sciences, Mention bien at Lycée Portes de l'Oisans
Engineer's Degree, Cognitics, Mention bien, Engineer's Degree, Cognitics, Mention bien at ENSC - BORDEAUX INP
Classe préparatoire, Pure and applied sciences, Classe préparatoire, Pure and applied sciences at CPP- La prépa des INP