Sungsu Lim is a Staff Machine Learning Engineer with a decade of experience bridging reinforcement learning, deep learning, and computer vision to build production-ready ML systems. Holding an MS and PhD-level training from the University of Alberta and a First Class BEng from HKUST, he combines rigorous academic foundations with practical engineering at companies like Tonal. His international background—living and studying across India, Hong Kong, Korea, the U.S., and Canada—gives him a multicultural perspective that helps translate research ideas into user-facing products. Known for strong RL expertise and a track record in vision-centric applications, he excels at turning experimental models into robust, deployable services. Based in Old Toronto, he brings both research rigor and product-focused delivery to cross-functional teams.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science, 4.0/4.0 GPA in coursework, Doctor of Philosophy - PhD, Computer Science, 4.0/4.0 GPA in coursework at University of Alberta
Exchange Program, Exchange Program at Northwestern University
International Baccalaureate, High School/Secondary Diploma Programs, International Baccalaureate, High School/Secondary Diploma Programs at American Embassy School, New Delhi, India
Hong Kong University of Science and Technology (HKUST)
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Sungsu Lim - Staff Machine Learning Engineer at Tonal