Thomas Rochefort-beaudoin

Member Of Technical Staff at Cohere

Montreal, Quebec, Canada
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Summary

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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.
code7 years of coding experience
job5 years of employment as a software developer
bookDoctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at Polytechnique Montréal
bookTechnical University of Denmark
languagesFrench, English
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Github Skills (48)

openai-api10
chatgpt10
image-classification10
api-documentation10
api10
ai10
pose-estimation10
object-detection10
computer-vision10
science10
cli10
toolbox9
hub9
robotics9
pytorch9

Programming languages (3)

TeXJupyter NotebookPython

Github contributions (5)

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Contributions:55 pushes in 6 months
Contributions:4 commits, 2 pushes in 9 months
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Thomas Rochefort-beaudoin - Member Of Technical Staff at Cohere