Summary
Cyril Lepinette is an ML Engineer with nine years of experience at the intersection of machine learning, audio software engineering, and electronic music. At Arturia he builds production-ready PyTorch/Lightning model libraries and deploys audio content-based recommender systems that embed Python models into C++ and surface interactive 2D maps for navigating large preset libraries. He combines formal training in research ML (MSc), computer science and musicology with hands-on DSP and plugin development, enabling him to translate musicological concepts into practical ML features and evaluation frameworks. Beyond model work he’s set up on-site MLops (ClearML + GPU agents), organized hackathons, and collaborates tightly with product and sound-design teams to shape AI-driven creative tools. Unusually, his background as a performing electronic musician informs both feature design (timbre, attack, temporal structure) and user-facing tooling for musicians.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Research in AI/Machine Learning, Master of Science - MS, Research in AI/Machine Learning at Université d'Angers
Diplôme d'Études Musicales - Performing Arts Graduate, Musiques Actuelles, Diplôme d'Études Musicales - Performing Arts Graduate, Musiques Actuelles at Conservatoire de Musique, de Danse et d'Art Dramatique du Choletais
Bachelor of Arts - BA, Music and musicology, Bachelor of Arts - BA, Music and musicology at Université catholique de l'Ouest