Summary
Quentin Bacuet is a software engineer based in Zurich with 11 years of hands-on experience at the intersection of data science and software engineering, currently building products at Google. An EPFL-trained data scientist, he has applied advanced analytics, NLP, recommender systems and predictive maintenance in both consultancy (ELCA) and telecom (Swisscom) settings, and led end-to-end ML projects from research prototypes to production. He combines strong engineering discipline with a track record of automating data pipelines and model evaluation, including a master’s thesis comparing ~20 recommender approaches that favored variational autoencoders and CNNs. Comfortable in international, multicultural teams, Quentin blends project management experience with client-facing delivery and technical coaching. He brings a research-minded curiosity to applied problems and a pragmatic focus on reliable, scalable ML systems.
11 years of coding experience
3 years of employment as a software developer
Baccalauréat, Scientific, Baccalauréat, Scientific at Institut Florimont - Genève
Lycee Francais international de Dubai
Master's degree, Data Sciences, Master's degree, Data Sciences at Ecole polytechnique fédérale de Lausanne