Wenhan Jin
Software Engineer at Google
Berkeley, California, United States
Summary
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Top SchoolWenhan Jin is a software engineer at Google with eight years of experience bridging machine learning, natural language processing, and data-driven software engineering. Trained at UC Berkeley with a BA in Computer Science and Statistics and an MEng in EECS, Wenhan combines strong academic rigor (GPAs ~3.9) with practical industry experience across Tencent, MOAC Blockchain, and research at Berkeley Neuroeconomics Lab. They have a track record of applying statistical decision theory to real-world NLP problems and rapid prototyping—from blockchain dev internships to production ML work at a major tech company. Based in Berkeley, Wenhan brings a research-informed mindset to product engineering and often draws on interdisciplinary insights, including early coursework in molecular biology, to approach complex data problems creatively.
7 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA, Computer Science and Statistics, GPA: 3.86, Bachelor of Arts - BA, Computer Science and Statistics, GPA: 3.86 at University of California, BerkeleyMaster of Engineering - MEng, Electrical Engineering and Computer Science, 3.95, Master of Engineering - MEng, Electrical Engineering and Computer Science, 3.95 at UC Berkeley College of EngineeringJohns Hopkins University
German, English, ChineseGithub contributions (5)
TigerJin4/moac-core-master
Jun 2018 - Jul 2018
Contributions:11 pushes, 2 branches in 1 month
MOACChain/MOAC-DOCS
Jul 2018 - Oct 2018
Contributions:71 commits, 59 pushes in 3 months
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