Enze Li

Member Of Technical Staff at Anthropic

Berkeley, California, United States
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Summary

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Rockstar
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Enze Li is a full-stack software engineer based in Berkeley with 3 years of growth-focused product experience, now a Member of Technical Staff at Anthropic. He has a proven track record driving user acquisition and retention—most notably architecting Whatnot’s influencer and referral channels that became the company’s fastest-growing funnel and delivered over 40% of new first-time buyers. Comfortable across React, JavaScript, Java, Python and backend stacks (GraphQL, Postgres), Enze pairs quantitative A/B testing and SQL analysis with product instinct to turn user behavior signals into high-impact features. He’s led small squads, onboarded engineers, and presented growth learnings publicly, blending technical execution with cross-functional leadership. A polymathly curiosity in psychology, physics and design informs his work: he seeks the “why” in data and looks for Lollapalooza-style leverage when connecting ideas.
code4 years of coding experience
job6 years of employment as a software developer
bookBachelor’s Degree Computer Science and Cognitive Science, Bachelor’s Degree Computer Science and Cognitive Science at University of California, Berkeley
languagesEnglish, Chinese
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Stackoverflow

Stats
1reputation
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0questions
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Github Skills (12)

pytorch10
recommender10
deep-learning10
knowledge-graph10
collaborative-filtering10
recommendation-system10
recommender-system10
ranking10
machine-learning9
textual4
cpp2
qt-framework1

Programming languages (2)

QMLPython

Github contributions (5)

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BishopLiu/RecBole_liu

Sep 2023 - Jul 2026

A unified, comprehensive and efficient recommendation library
Contributions:35 pushes, 2 branches in 2 years 10 months
BishopLiu/CCFRec

May 2025 - Aug 2025

[KDD'25] Code of "Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation".
Contributions:2 pushes, 1 branch, 1 comment in 2 months
textual
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