Alvin Shek
Senior Deep Learning Engineer End-to-end Autonomous Driving at NVIDIA
South San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAlvin Shek is a Robotics Software Engineer with nine years of experience blending research and industry work at CMU, Armstrong Robotics, and autonomous vehicle and factory automation teams. He holds a BS in ECE and is pursuing a Master’s in Robotics focused on imitation and reinforcement learning, with publications on graph-based motion planning and human-robot collaboration. Alvin builds real-time perception and planning pipelines—having delivered a 238x GPU speedup for trajectory costing at Uber ATG—and implements few-shot learning and semi-adaptable neural nets for human motion prediction. Based in South San Francisco, he’s pragmatic about deployment, pairing feedback control and parameter estimation techniques to handle objects with unknown mass in real-world settings. Notably, he’s driven end-to-end systems from point-cloud feature extractors to full factory dashboards, bridging low-level C++/CUDA performance work with ML research.
9 years of coding experience
7 years of employment as a software developer
Sacred Heart Cathedral PreparatoryMaster's degree Robotics, Master's degree Robotics at Carnegie Mellon University
Stackoverflow
1reputation
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Github Skills (37)
ros-node8
robotics8
simulator8
unreal7
ros7
computer-vision6
deep-reinforcement-learning6
drake6
ai6
artificial-intelligence6
platform-independent5
generalization5
control-systems5
3d5
robustness5
Programming languages (9)
Github contributions (5)
Alvinosaur/planning_uncertainty
Feb 2020 - Jul 2021
Planning for Robotics under Uncertainty
Contributions:8 reviews, 3 PRs, 59 pushes in 1 year 4 months
roboticspoint-cloudssnl-applicationspybulletuncertainty
Alvinosaur/Parallel_SIFT
Oct 2019 - Aug 2020
Contributions:61 commits, 57 pushes, 3 branches in 10 months
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