Chuan-zheng Lee

Technical Data Consultant

Auckland, Auckland, New Zealand
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Summary

👤
Senior
🎓
Top School
Chuan-zheng Lee is a PhD-trained machine learning researcher turned data leader with 14 years of engineering experience, now shifting back to individual-contributor roles in data science, AI and ML. At Kami he built the company's first data team, advanced ClickHouse into business-critical infrastructure, and shipped LLM-powered tooling and automated reporting that replaced manual workflows. His background blends industrial data engineering with deep theoretical expertise in information theory and statistical learning from Stanford, plus research in bandits and reinforcement learning during a visit to Inria. He contributes to open-source tooling for competitive debating (Tabbycat), demonstrating a pragmatic full-stack backend skillset beyond typical data roles. Based in Auckland, he pairs rigorous academic foundations with hands-on systems design and a track record of mentoring engineers to ship production-quality analytics.
code14 years of coding experience
job5 years of employment as a software developer
bookBachelor of Engineering (Honours) - BE(Hons) Electrical and Electronic Engineering, Bachelor of Engineering (Honours) - BE(Hons) Electrical and Electronic Engineering at University of Auckland
bookDoctor of Philosophy - PhD Electrical Engineering, Doctor of Philosophy - PhD Electrical Engineering at Stanford University
languagesEnglish, French, Chinese
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Github Skills (6)

back-end-development10
python10
django10
ember-i18n8
i18n-js8
rails-i18n8

Programming languages (9)

JuliaJavaC++JavaScriptGoPHPJupyter NotebookRuby

Github contributions (5)

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TabbycatDebate/tabbycat

Jun 2013 - Apr 2022

Debating tournament tabulation software for British Parliamentary and a variety of two-team parliamentary formats
Role in this project:
userBack-end Developer
Contributions:26 releases, 105 reviews, 4007 commits in 8 years 11 months
Contributions summary:Chuan-zheng's commits primarily involved modifying the back-end logic of the Tabbycat debate tabulation software. Their work included refactoring and moving the motion statistics page, deprecating older pages, and fixing motion statistics tests. Furthermore, they implemented i18n work, indicating efforts to support multiple languages. These changes involved modifying Django templates, Python files and model definitions.
tabulationdjangonode-jsdebatingbritish
czlee/debatekeeper

May 2012 - Jan 2023

Android app for timing debate speeches that rings bells automatically.
Contributions:4 reviews, 826 commits, 17 PRs in 10 years 10 months
debatingandroidspeechesandroid-appkotlin
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