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
job1 year 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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Stackoverflow

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Github Skills (53)

minecraft10
openai-api10
function-call10
semantic-segmentation10
api-documentation10
api10
ai10
pose-estimation10
object-detection10
science10
image-classification9
chatgpt9
toolbox9
object-tracking9
pytorch9

Programming languages (3)

TeXJupyter NotebookPython

Github contributions (5)

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Contributions:9 pushes in 2 years 11 months
ThomasRochefortB/cadbench

May 2025 - May 2026

Source code for the CADBench LLM benchmark
Contributions:1 release, 3 PRs, 7 pushes in 1 year
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