Summary
Jiatian Wu is a senior software engineer specializing in recommendation systems and machine learning, with 10 years of experience building large-scale personalization and serving infrastructure for video, e-commerce, and ads. Currently at TikTok in Mountain View, he architects recommender features and ML systems that power video and commerce discovery, after shaping model training and serving at Nod Labs. His background as a roboticist—MS in Robotics from Carnegie Mellon and work on stereo visual odometry and industrial robot systems—gives him a strong foundation in perception, systems integration, and applied research. Comfortable across production ML stacks and low-level robotics algorithms, he bridges research-grade solutions and production constraints to deliver reliable, scalable systems. He brings an engineer’s curiosity and a track record of shipping end-to-end systems that span from computer vision prototypes to high-throughput recommendation platforms.
10 years of coding experience
3 years of employment as a software developer
Machine Learning and Robotics, Machine Learning and Robotics at Imperial College London
Bachelor's degree, Electrical Engineering and Automation, Bachelor's degree, Electrical Engineering and Automation at Nanjing University of Science and Technology
Master of Science (MS), Robotics Technology, Master of Science (MS), Robotics Technology at Carnegie Mellon University
Chinese, English