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Pierre Cournut is a Machine Learning Engineer at MWM since February 2020, specializing in Deep Learning and AI for creative applications such as music, image, and video. This role includes research and development in areas like MIDI generation, voice synthesis, and image generation, leveraging a broad range of technologies including Python, PyTorch, and GCP. Prior experience includes work as a Consultant in Data Science at IBM, where Pierre designed a tool for PDF analysis and supervised data factory implementations, and as a Research Assistant at Polytechnique Montréal, contributing to a study on Deep Reinforcement Learning. Pierre holds an Engineer's degree from École Polytechnique and a Master's degree in Machine Learning from KTH Royal Institute of Technology.