Yangting Sun
Robotics Researcher at LimX Dynamics
Haidian District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolYangting Sun is a robotics researcher with 8 years of experience building real-world reinforcement learning and vision-language-action systems for embodied AI, currently driving manipulation and humanoid training infrastructure at LimX Dynamics. Previously a staff R&D engineer at NIO, Yangting led end-to-end autonomous driving efforts and built a production RL pipeline that sped motion planning model training by 10x and enabled seamless data-to-deployment workflows. At SenseTime they delivered top-ranked results in NIST's FRVT, developed AutoML/NAS solutions for major clients, and scaled distributed RL infrastructure across 160 GPUs and 10K CPU cores for game AI. Comfortable at the intersection of research and production, Yangting combines hands-on systems engineering with applied ML research, and has experience shipping large-scale infra used for both autonomous vehicles and humanoid robot training.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (B.E.), Bachelor of Engineering (B.E.) at 北京理工大学University of California, San DiegoSimon Fraser University
Github Skills (33)
face9
starcraft9
face-detection9
face-recognition9
robot8
re-identification8
robotics8
arcface7
simulation7
pytorch7
face-alignment7
mxnet7
nvidia7
ros7
paddlepaddle6
Programming languages (3)
Github contributions (5)
TedSYt/prediction-validation_Insight
Aug 2018 - Aug 2018
Contributions:17 pushes, 1 branch in 5 days
TedSYt/ECE276AHW1-UCSDWinter19
Feb 2019 - Feb 2019
Contributions:5 pushes in 1 day
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