Summary
Ting-che Lin is a robotics and machine learning engineer with 11 years of hands-on experience building perception and autonomy systems across startups and leading tech firms, including Uber ATG, Aurora, Petuum, and ByteDance. Currently pursuing a Master's in Robotics at Carnegie Mellon and seeking a summer internship in ML/robotics, he combines deep learning for computer vision with practical system delivery—ranging from robotic suction grasping to autonomous river navigation and industrial applications. He has moved between research, product, and infrastructure roles, contributing to GenAI infra at ByteDance and co-founding a drone project that bridged hardware and software for conservation in the UAE. Based in Shanghai, he brings a cross-disciplinary mechanical engineering foundation (NYU, cum laude) and a track record of turning prototypes into deployed capabilities in constrained real-world environments.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS) - Cum Laude Mechanical Engineering, Bachelor of Science (BS) - Cum Laude Mechanical Engineering at New York University
Master's degree Masters in Robotics System Development (MRSD), Master's degree Masters in Robotics System Development (MRSD) at Carnegie Mellon University
English, Spanish, Chinese