Kevin Chien
Software Engineer at EasyPost
Berkeley, California, United States
Summary
🤩
Rockstar🎓
Top SchoolKevin Chien is a pragmatic software engineer with 9 years of experience building backend systems for high-throughput commerce platforms, currently driving USPS carrier integrations and mission-critical manifesting jobs at EasyPost. He has a solid full-stack background from UC Berkeley research to production services at Expedia, proficient in Python, Go, Java/Kotlin, Ruby on Rails, and modern cloud tooling, and has improved APIs and database pipelines that process hundreds of thousands of shipments and hotel records monthly. Kevin contributes to open-source ML/traffic control tooling (Flow), fixing visualizers and example integrations, showing comfort across Python scripts and Jupyter notebooks. Comfortable shipping in startup and large-company environments, he pairs domain expertise in top revenue-generating carriers with hands-on refactors and performance wins (e.g., 7x API improvements). He’s based in Berkeley and—true to his GitHub bio—will happily trade code for food, which underscores a pragmatic, get-things-done engineering style.
10 years of coding experience
4 years of employment as a software developer
High School Diploma, High School Diploma at Pacific American SchoolBachelor of Science (B.S.), Electrical Engineering and Computer Science (EECS), Bachelor of Science (B.S.), Electrical Engineering and Computer Science (EECS) at UC Berkeley College of Engineering
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
ray10
ppp10
python10
reinforcement-learning10
basics9
learn-ruby-on-rails9
user-manual9
githubaction-workflow7
documentation7
tensorboard7
github-ci7
javascript4
Programming languages (14)
Github contributions (5)
flow-project/flow
Sep 2018 - Sep 2019
Computational framework for reinforcement learning in traffic control
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:35 commits, 8 PRs, 14 pushes in 1 year
Contributions summary:Kevin primarily contributed to the project by making updates to the rllib visualizer and examples, specifically focusing on integrating the algorithm name ('run') parameter to ensure proper functionality. The user also addressed import issues and style problems within the codebase. These changes involved modifications to both Python scripts and Jupyter notebooks, indicative of involvement across multiple aspects of the project.
reinforcement-learningbenchmarkautonomousvehicle-controlsumo
Aakup/MultiMeet
Mar 2019 - May 2019
Contributions:30 PRs, 51 pushes, 33 branches in 1 month
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