Jie T
Staff Product Designer at Broadcom
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolJie T is a Staff Product Designer based in the San Francisco Bay Area with 14 years of experience designing enterprise and consumer products across cloud, security, and platform domains. They blend a strong industrial and product design foundation (M.Des) with practical front-end development and UX research skills, having moved from hands-on prototyping to senior design roles at VMware and Broadcom. Jie has a rare mix of product design and engineering empathy—evident from substantive open-source contributions to high-profile AI tooling like OpenAI’s Gym and Universe where they improved core environment lifecycle and benchmarking behavior. Comfortable working on mission-critical cloud and security interfaces, they excel at turning complex technical requirements into usable experiences while mentoring cross-functional teams. Their background includes an MBA, underscoring a product-minded approach that balances user needs, business goals, and measurable outcomes.
14 years of coding experience
6 years of employment as a software developer
Master’s Degree Industrial and Product Design, Master’s Degree Industrial and Product Design at Arizona State UniversityBachelor of Engineering (BE) Industrial and Product Design, Bachelor of Engineering (BE) Industrial and Product Design at University of Shanghai for Science and TechnologyMaster of Business Administration - MBA, Master of Business Administration - MBA at Sofia University
English, Chinese
Github Skills (18)
environmental10
software-design10
python10
testing10
openai-gym10
machine-learning10
resource-management10
aiml10
ml10
manage10
ai10
management10
gymnasium9
build-automation9
wrapper9
Programming languages (6)
Github contributions (5)
openai/gym
May 2016 - Mar 2017
A toolkit for developing and comparing reinforcement learning algorithms.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:152 commits, 37 PRs, 107 pushes in 10 months
Contributions summary:Jie contributed significantly to the core functionality of the gym library. They added and refactored the `close()` method for environments, enabling proper resource cleanup and atexit behavior. The user also made close() idempotent, added test cases, and made minor fixes across core files. They also refactored the monitor to use CloseRegistry and made changes to the benchmark system by adding or correcting relevant scoring functions.
comparingreinforcement-learning-algorithmsdevelopingdeep-learningreinforcement-learning
openai/universe
Dec 2016 - Dec 2016
Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.
Role in this project:ML Engineer
ML EngineerContributions:9 commits, 8 pushes, 2 comments in 14 days
Contributions summary:Jie's contributions primarily involve modifications to the `universe` platform, which focuses on measuring and training AI's general intelligence across games and websites. They updated scoring rules for specific games and refactored the monitoring framework, likely to improve the platform's ability to track and evaluate AI performance. The user also modified tests and wrappers, indicating work to refine the environment's behavior and integration with other components. The commit messages and code changes demonstrate a focus on core elements of the AI training platform.
universegamesmachine-learningtrainingmeasuring
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