Nicholas Charron is a Staff Machine Learning Engineer with a PhD in Robotics from the University of Waterloo and nine years of experience building end-to-end robotics and perception systems for AR/VR and field robotics. He led flagship dataset and tooling efforts at Meta Reality Labs—helping publish multiple Aria/Quest datasets and contributing one of the top open-source Aria libraries used by dozens of labs—then moved to production ML at Rivian. His strengths span computer vision, lidar-visual-inertial SLAM, sensor calibration, and scalable data pipelines, combined with hands-on system integration from hardware to deployed models. As a founder-CEO he translated research SLAM and defect-detection models into commercial inspection products, demonstrating an uncommon blend of research rigor and product delivery. Based in Palo Alto and working in the US as a Canadian, he brings both academic depth and practical engineering leadership to complex perception challenges.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Civil & Mechatronics Engineering, Doctor of Philosophy - PhD, Civil & Mechatronics Engineering at University of Waterloo
This repo is a set of nodes for ROS to filter point clouds with the goal of removing snow in Lidar data.
Contributions:1 review, 56 commits, 3 PRs in 5 years 1 month
lidar-datapoint-cloudros
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