Summary
Yuan Yao is a video analytics researcher and computer vision engineer based in Singapore with eight years of experience building and researching VLMs, face recognition, and applied vision systems. Currently at NCS Group, he translates research into production-ready video analytics solutions, drawing on prior AI scientist work at Pensees and a visiting scholar stint at the University of Cambridge on medical imaging. His background blends strong academic training (NUS MS, top undergraduate GPA) with hands-on R&D across industry and academia, from aerospace internships to healthcare imaging projects. Known among peers for a playful GitHub persona—"bug-generator and hot-pot-discriminator"—he brings both rigorous experimentation and a sense of curiosity to debugging complex models. Yuan often operates at the intersection of detection, classification and large visual models, with a track record of moving prototypes toward deployable systems.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at National University of Singapore
Bachelor of Engineering - BE, Electronic Information Engineering, 3.67/4.00, Bachelor of Engineering - BE, Electronic Information Engineering, 3.67/4.00 at University of Electronic Science and Technology of China
Chinese, English, Japanese