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Experienced Software Engineer with a demonstrated history of working in the internet industry. Skilled in Computer Science, Data Science, and Machine Learning. Strong engineering professional with a Ph.D. focused in Computer Science; Vision and Graphics from UCLA.
UCLA
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2007 – January 1, 2011
Fudan University
Bachelor of Science (B.S.), Electronic Engineering
January 1, 2000 – January 1, 2004
Software Engineering Manager, Cloud TPU
November 1, 2022 – Present
Sunnyvale, California, United States
Viaduct
Head of Machine Learning
December 1, 2019 – December 1, 2021
Menlo Park
Tinder, Inc.
Engineering Manager, Machine Learning Engineering
June 1, 2017 – August 1, 2019
Palo Alto, CA
Software Engineer, Research Scientist
August 1, 2011 – June 1, 2017
Menlo Park, CA
Software Engineering Intern
June 1, 2010 – September 1, 2010
Mountain View, CA
Lab of Neural Imaging, UCLA
Research Assistant
August 1, 2007 – September 1, 2011
Los Angeles, CA
Kyushu Institute of Technology
Visiting Researcher
October 1, 2005 – October 1, 2005
Japan
Image and Intelligence Lab, Fudan University
Research Assistant
August 1, 2004 – June 1, 2007
Shanghai City, China
Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)
Coursera Course Certificates
June 24, 2026 – Present
Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning academic research, large tech companies (Google, Facebook, Tinder), and a startup (Viaduct). This breadth of experience suggests adaptability to different organizational cultures and stages. Their work on personalized recommendations and connected vehicle platforms indicates an interest in impactful, real-world applications of AI. The target role of Computer Vision aligns well with their Ph.D. research and early career focus, suggesting a strong intrinsic motivation for the domain.
Soft Skills & Operational Fit
The candidate's career progression from Research Assistant to Software Engineering Manager at Google, with leadership roles at Viaduct and Tinder, indicates strong leadership, team-building, and project management skills. Their experience in delivering personalized recommendation features and building AI platforms suggests a results-oriented approach and ability to operate in fast-paced environments. The descriptions of owning platforms like Dataswarm and Search Experimentation platform at Facebook highlight operational ownership and system-level thinking.