Cedric Leblond-Menard is a Machine Learning Specialist with a PhD in Computer Vision for Robotics and nine years of experience building vision-based systems, from assistive robotic arm control using gaze estimation to industrial re-identification and classification pipelines. He combines deep learning expertise in PyTorch with advanced C++ and parallel/GPU programming to optimize training and deployment—having achieved a 4x reduction in training time through profiling and optimization. Comfortable across the stack, he designs data collection and annotation tools, develops embedded and bare-metal solutions, and contributes to microservice and DevOps workflows. A seasoned educator and researcher, he lectures in control systems while mentoring student projects that span mechatronics, simulation and computer vision. Practical and curious, he pairs hands-on mechanical/electronics prototyping with rigorous mathematical modeling, making him effective at turning academic research into production-ready robotics software.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Vision and Artificial Intelligence in Robotics, Doctor of Philosophy (PhD) Computer Vision and Artificial Intelligence in Robotics at Polytechnique Montréal
DEC in Natural Sciences Physics and Mathematics Focus Natural Sciences, DEC in Natural Sciences Physics and Mathematics Focus Natural Sciences at Cégep Régional de Lanaudière à Terrebonne
PyTorch implementation of Google's Mediapipe Iris Landmark model. The original code uses TFLite and their mediapipe workflow, which wouldn't work well with my codebase.
Contributions:8 commits, 1 push, 4 comments in 8 months
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Cedric Leblond-menard - Machine Learning Specialist at Genetec