Cyril Lepinette
Ml Engineer @ARTURIA
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WORK HISTORY
Ml Engineer @ARTURIA
Montbonnot-Saint-Martin, FR
Machine Learning Library: • Build & deploy model efficiently • Shared library across the team (models, dataset, helpers, optimizers.) • Reusability & Standardized code • Pytorch + Lightning • Configure models & hyperparams with Hydra • Seamless integration with ClearML (develop locally, train remotely)Audio Recommendation :(please find a detailed description in the next section) • Recommend presets based on their audio content (dimensionality reduction problem) • Evaluating algorithms for high-dimensional data reduction and visualization (combinatorial problem) • Embedding Python machine learning algorithms in C++ ML Ops Related: • Setup ClearML on-site (Server + Agent with GPU) • Train models on the GPU Agent • Monitor models • Dataset ManagementOther contributions include • ML Hackathon organization • Presentation of ML & Music with Yann Lecun at ArturiaI work closely with the Product Team to help them to identify and define the use case of AI, MIR, and algorithms in audio software.
EDUCATION
Université d'Angers
Master of Science - MS, Research in AI/Machine Learning
Université catholique de l'Ouest
Bachelor of Arts - BA, Music and musicology
Conservatoire de Musique, de Danse et d'Art Dramatique du Choletais
Diplôme d'Études Musicales - Performing Arts Graduate , Musiques Actuelles
Université d'Angers
Bachelor of Science - BS, Informatique
ABOUT CYRIL LEPINETTE
Looking for a crossover between Machine Learning / AI and Music Information Retrieval through a PhD or a job.My primary interests are recommender systems, new synthesis/fx methods and AI-assisted creative tools. I completed a Research Machine Learning MSc, a Bachelor’s degree in Musicology and a Performing Arts Graduate in electronic music.
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