Chentai Kao
Creator
Union City, California, United States
Summary
👤
Senior🎓
Top SchoolChentai 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 UniversityMaster of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at Stanford University
English, Chinese
Github Skills (6)
data-structures10
graph-algorithms10
c-language10
cprogramming-language10
network-analysis10
data-structure10
Programming languages (4)
Github contributions (5)
snap-stanford/snap
Mar 2014 - Mar 2014
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits in 2 days
Contributions summary:Chentai contributed significant code related to the Stanford Network Analysis Platform (SNAP) library, focusing on the implementation of RolX (Role-based eXpansion) and its integration within the existing codebase. The commits demonstrate a strong understanding of graph algorithms and data structures, with modifications including adding egonet features to subgraphs. This involves the creation of new functionalities and comments to ensure the code's readability and maintainability.
stanfordpythonminingpurposegraph
Chentai-Kao/ipc2581_to_odb
Mar 2013 - Sep 2013
Contributions:92 commits in 6 months
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