Jean-francois Lafleche

Manager, Applied Research at NVIDIA

Old Toronto, Ontario, Canada
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Summary

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Jean-francois Lafleche is a Manager of Applied Research at NVIDIA with six years of experience blending machine learning, robotics, and mechanical engineering to solve complex real-world problems. He progressed from research on robot learning-from-demonstration and grasp detection at the University of Toronto to applied deep learning engineering and team leadership at NVIDIA, bringing both strong academic rigor (MEng, 4.0 GPA) and industrial delivery experience. His background includes hands-on mechanical systems design and process engineering at SNC-Lavalin, where he automated workflows, built analytics dashboards and custom software to improve project outcomes. Known as a self-starter and lifelong learner, he combines algorithmic depth with practical systems thinking to move innovations from prototype to production. An Old Toronto–based leader, he uniquely bridges robotics research and large-scale engineering operations to accelerate applied AI solutions.
code6 years of coding experience
job10 years of employment as a software developer
bookMaster of Engineering - MEng, Mechanical Engineering, 4.0 GPA, Master of Engineering - MEng, Mechanical Engineering, 4.0 GPA at University of Toronto
bookBachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at Queen's University
languagesEnglish, French
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Github Skills (16)

camera-api10
cuda10
pytorch10
robotics10
deep-learning10
artificial-intelligence10
3d10
nvidia-isaac9
continuous-integration7
docker6
build-automation6
build-pipelines5
continuous-delivery5
go5
git5

Programming languages (3)

C++GoPython

Github contributions (5)

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A PyTorch Library for Accelerating 3D Deep Learning Research
Contributions:17 PRs, 206 pushes, 49 branches in 3 years 1 month
3ddeep-learningpytorch
Unified framework for robot learning built on NVIDIA Isaac Sim
Contributions:4 pushes, 2 branches in 1 year 1 month
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