Summary
Sky Yang is an engineering professional with 10 years of experience building production systems across ML, NLP, and algorithmic trading domains, currently contributing to Applied Intuition in Sunnyvale. With a Master’s in Computer Science from Columbia and a B.A.Sc. in Electrical and Computer Engineering from the University of Toronto, he combines strong academic grounding with hands-on experience at Facebook where he optimized large-scale ranking systems and reduced peak CPU usage by 30%, freeing hundreds of servers. His background spans full-stack web tools, embedded and lab instrumentation, and data-driven research—ranging from Django-backed device catalogues to Matlab-based imaging and high-speed camera controllers. Comfortable moving between research prototypes and scalable production code, he brings practical ML and systems know-how to high-throughput engineering problems. Less obvious: his early work on synchronizing custom hardware and publishing in optics shows a knack for bridging hardware, software, and experimental science to accelerate real-world experiments.
10 years of coding experience
7 years of employment as a software developer
Master of Science, Computer Science, Master of Science, Computer Science at Columbia University in the City of New York
Bachelor of Applied Science (B.A.Sc.), Electrical and Computer Engineering, Bachelor of Applied Science (B.A.Sc.), Electrical and Computer Engineering at University of Toronto
Chinese, English