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Kang Lee

Staff Engineer at Lyft

Kang Lee is a Staff Engineer at Lyft, based in the San Francisco Bay Area. He has been with Lyft since October 2019, where he has played a key role in designing and leading projects related to biometric-based identity verification and financial fraud prevention. His work includes architecting an Identity Verification Platform that integrates technologies like face authentication, ID scanning, and facial covering detection. He has also collaborated with Lyft's Level 5 team on in-house face authentication projects.12

Before joining Lyft, Kang Lee worked as a Principal Member of Technical Staff at Salesforce.com (2011–2019), where he focused on enhancing storage architecture for better scalability and automation. Earlier roles include positions at Autonomy (HP), Cisco Systems, and Iron Mountain Digital, where he worked on distributed systems, search engines, and clustering mechanisms.1

Kang Lee holds a Bachelor's degree in Computer Science and Engineering (2003–2005) and a Master's degree in Computer Science (2006–2007) from UCLA, graduating with Magna Cum Laude honors. His academic focus included computer networks, operating systems, and web information management.1

Highlights

Jun 17 · eng.lyft.com
Building a seamless experience to request a ride for others
Building a seamless experience to request a ride for others

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Kang Lee
Kang Lee, photo 1
Kang Lee, photo 2
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Location

San Jose, California, United States