Zongyi Yang

Deep Learning Research And Development Engineer at NVIDIA

New Jersey, United States
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Summary

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Senior
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Top School
Zongyi Yang is a Deep Learning R&D Engineer with 16 years of experience at the intersection of robotics, AI, and embedded systems, currently applying end-to-end deep learning to autonomous driving at NVIDIA. He combines high-level algorithm design with low-level microcontroller programming, PCB and mechanical design skills, and a track record in medical imaging research for ultrasonic transducers. Trained at University of Toronto (EngSci) and Carnegie Mellon (Robotics), he brings rigorous academic foundations (GPAs above 3.8) to production-focused projects. Notably, he has built tools to capture expert-labeled data from clinicians and developed real-time tissue/border detection algorithms—an uncommon mix of clinical-domain signal processing and modern deep learning. Based in New Jersey, he excels at bridging sensors-to-ML pipelines, from embedded hardware through deployed neural models.
code15 years of coding experience
job1 year of employment as a software developer
bookBachelor’s Degree, Engineering Science, Electrical and Computer Engineering Major, Robotics and Mechatronics Minor, 3.86, Bachelor’s Degree, Engineering Science, Electrical and Computer Engineering Major, Robotics and Mechatronics Minor, 3.86 at University of Toronto
bookMaster's degree, Robotics, 3.95, Master's degree, Robotics, 3.95 at Carnegie Mellon University
languagesEnglish, Chinese
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Github Skills (22)

arduinojson10
hostname9
exe9
tcp9
credentials8
clipboard8
esp328
wifi8
streamdeck8
async8
reddit7
fallback7
wifimanager7
portal6
youtube6

Programming languages (1)

C++

Github contributions (5)

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An Elgato StreamDeck Plugin that calls youtube-dl.exe with whatever link is in the clipboard. It also downloads media if provided with Reddit URLs.
Contributions:3 releases, 19 commits, 1 PR in 1 year 6 months
urlsclipboardstreamdeckcallsexe
Contributions:3 pushes, 1 branch in 2 years 5 months
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