Summary
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.
5 years of coding experience
4 years of employment as a software developer
Bachelor 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
Folsom High School
Chinese, English