Thomas Rochefort-beaudoin is a machine learning engineer with seven years of experience applying AI to practical engineering problems, currently a Member of Technical Staff at Cohere after senior ML roles at Valence Labs. He holds a PhD in Mechanical Engineering from Polytechnique Montréal and blends deep domain expertise in thermofluids and aerospace with production ML engineering—transitioning from academic lecturer and TA roles to industry-facing model development. His background includes data science work in finance and hands-on research on drone aerodynamics and structures at Defence R&D Canada, giving him uncommon strength in physical modeling and data-driven solutions. Based in Montreal, he is known for translating complex simulation and experimental insights into deployable ML systems and for moving quickly between prototype research and scalable product implementations.
7 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at Polytechnique Montréal
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Thomas Rochefort-beaudoin - Member Of Technical Staff at Cohere