Zhuke Wang

Shanghai, United States
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Summary

🤩
Rockstar
🎓
Top School
Zhuke Wang is a product designer with 7+ years of experience building AI-powered products and scalable design systems across startups, agencies, and Fortune 500 teams. Based in Shanghai with a decade in design and product roles, Zhuke led a 0→1 AI Copilot and an LLM-driven SaaS for short-term rental ops that delivered 94% user satisfaction and tripled response speed. They combine deep craft in interaction and visual design with hands-on collaboration with engineering, mentoring junior designers and shipping measurable business impact. Zhuke also contributes to ML engineering code—refactoring and stabilizing a TPAMI 2023 few-shot learning library—highlighting a rare blend of design sensibility and practical technical maintenance. Known for thriving in ambiguity, they turn complex workflows into clear, usable experiences that scale.
code10 years of coding experience
job5 years of employment as a software developer
bookMaster's degree, Digital Media (Specialization in Interactive Design), Master's degree, Digital Media (Specialization in Interactive Design) at Northeastern University
bookColumbia University
bookShih Hsin University
bookBachelor's degree, Finance, General, Bachelor's degree, Finance, General at Southwest University for Nationalities
languagesChinese, English
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Github Skills (8)

meta-learning10
pytorch10
few-shot-learning10
fine-tuning10
debug9
debugging9
testing8
image-classification8

Programming languages (5)

C++PHPJupyter NotebookRich Text FormatPython

Github contributions (5)

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RL-VIG/LibFewShot

Dec 2020 - Sep 2022

LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
Role in this project:
userML Engineer
Contributions:9 reviews, 255 commits, 17 PRs in 1 year 9 months
Contributions summary:Zhuke primarily focused on refactoring the existing code, addressing issues and optimizing the code related to model training, evaluation and metric calculation. They removed Chinese comments and debugged various components such as multi-GPU support, configurations, and test logging. The user also merged updates from other branches to fix testing processes and address data handling issues, indicating a focus on code maintainability and ensuring correct functionality.
pytorchmeta-learningdeep-learningshot-learningcomputer-vision
wZuck/OnlineJudge-Solutions

Feb 2018 - Feb 2020

Contributions:18 pushes, 1 branch in 2 years
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