Summary
Yunzhi Lin is a Machine Learning Engineer at TikTok with eight years of experience bridging cutting-edge research and production systems in video understanding and live e-commerce recommendation. He holds a PhD from Georgia Tech and built deep expertise in 3D perception, robotic manipulation, and RGB-only 6-DoF pose estimation through internships and research at NVIDIA and Meta, producing state-of-the-art results and large synthetic datasets. Yunzhi excels at turning research prototypes into scalable pipelines—examples include uncertainty-aware pose tracking, NeRF-based pose optimization, and integration with robotics middleware like Isaac ROS. His work uniquely spans end-to-end systems from data generation (40K clip synthetic datasets) to robust real-world deployment, reflecting both algorithmic depth and engineering rigor. Based in Bellevue, WA, he combines academic leadership as a former TA and research advisor with hands-on product impact in high-throughput video platforms.
8 years of coding experience
6 years of employment as a software developer
High school, High school at High School Affiliated to Nanjing Normal University
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at Georgia Institute of Technology
Bachelor's Degree Automation, Bachelor's Degree Automation at Southeast University
English, Chinese