Summary
Chentai Kao is a seasoned machine learning practitioner and full-stack software engineer with 13 years of experience and a decade at top-tier internet companies, including LinkedIn where he built end-to-end ML pipelines for Sales Navigator. He blends deep relevance systems and ads infrastructure expertise with product-focused engineering—shipping mission-critical ad platforms, ERP systems, and a code visualizer product that attracted thousands of users and paying customers. A pragmatic builder and solo founder, he recently launched ShadowCal to solve calendar sync pain points and runs Codemap, a cross-language code visualizer powered by LSP. His open-source contributions include substantive graph-algorithm work on the widely-used SNAP library, showing strong algorithmic chops beyond typical product engineering. Comfortable shifting between ML models, backend scalability, and frontend UX, he excels at turning operational bottlenecks into high-ROI features. Based in Union City, CA, he combines startup grit, consulting experience across industries, and continued academic rigor from Stanford CS.
13 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS), Electrical and Electronics Engineering, Bachelor of Science (BS), Electrical and Electronics Engineering at National Taiwan University
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at Stanford University
English, Chinese