Jean-francois Lafleche
Manager, Applied Research at NVIDIA
Old Toronto, Ontario, Canada
Summary
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Rockstar🎓
Top SchoolJean-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.
6 years of coding experience
10 years of employment as a software developer
Master of Engineering - MEng, Mechanical Engineering, 4.0 GPA, Master of Engineering - MEng, Mechanical Engineering, 4.0 GPA at University of TorontoBachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at Queen's University
English, French
Github Skills (23)
camera-api10
pytorch10
artificial-intelligence10
robotics10
robot10
nvidia10
deep-learning10
cuda10
simulation9
ros9
reinforcement-learning8
siggraph8
gpu7
build-automation7
continuous-integration7
Programming languages (3)
Github contributions (5)
Jean-Francois-Lafleche/kaolin
Nov 2019 - Dec 2022
A PyTorch Library for Accelerating 3D Deep Learning Research
Contributions:17 PRs, 206 pushes, 49 branches in 3 years 1 month
pytorchdeep-learningsiggraph3d-deep-learningpytorch-library
NVIDIAGameWorks/kaolin
Nov 2019 - Dec 2022
Contributions:66 commits, 2 comments in 3 years 1 month
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