Summary
Tao-yang Fu is a software engineer and ML specialist with 8 years of experience and a PhD track in computer science, currently applying machine learning at Pinterest to improve high-scale search through query intent prediction and spelling correction. He brings a strong research background from Penn State in representation learning, trajectory mining and recommender systems, and has industrial experience from Google and early semantic-search work at ITRI and a startup that processed millions of webpages daily. Comfortable moving ideas from research to production, he builds signals that feed downstream applications (e.g., promoting shoppable pins) and has hands-on expertise in text, social and trajectory mining. Based in Menlo Park, he blends academic rigor with product-minded engineering and a proven record of shipping scalable ML systems.
8 years of coding experience
7 years of employment as a software developer
Bachelor, Computer Science, Bachelor, Computer Science at National Chiao Tung University
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Penn State University
Chinese, English