Kenzie Tee

Member Of Technical Staff at OpenAI

San Francisco, California, United States
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Summary

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Rockstar
🎓
Top School
Kenzie Tee is a software engineer with five years of experience building backend systems and product infrastructure, currently a Member of Technical Staff at OpenAI in San Francisco. They bring practical experience from internships and roles at Datadog, Palantir, Amazon, VMware, and Web Development at Berkeley, where they focused on serverless integrations, product infrastructure, and e-commerce details pages. Kenzie blends a computer science and data science background from UC Berkeley with an economics domain emphasis, enabling pragmatic trade-offs between performance, cost, and user impact. Comfortable shipping end-to-end backend features, they have a track record of moving from prototype to production across cloud-native and developer tooling contexts. Colleagues rely on them for thoughtful API design and scalable integrations that bridge product and platform needs. Outside of core roles, their pattern of consecutive internships at major engineering organizations suggests strong adaptability and rapid ramp-up in complex codebases.
code5 years of coding experience
job4 years of employment as a software developer
bookBachelor of Arts - BA Computer Science and Data Science (Domain Emphasis in Economics), Bachelor of Arts - BA Computer Science and Data Science (Domain Emphasis in Economics) at University of California, Berkeley
bookFolsom High School
languagesChinese, English
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Github Skills (16)

hugo9
datadog9
documentation8
api6
points6
resty6
backend5
application-server5
node-api5
embedded4
server4
prop4
nom3
golang3
nodejs3

Programming languages (4)

TypeScriptJavaJavaScriptGo

Github contributions (5)

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Take control of how the computer works, see how the algorithm you chose works on the points you chose
Contributions:17 commits, 4 PRs, 13 pushes in 6 months
points
teekenzie/SpeedArithmetic

Jul 2020 - Aug 2020

Contributions:22 commits, 7 pushes in 27 days
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Kenzie Tee - Member Of Technical Staff at OpenAI