Kai Chen
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolKai Chen is a software engineer with nine years of practical experience and a BSc in Computer Science from UBC, currently based in New York. He has a strong full‑stack background from internships at Slack, SAP, and Hootsuite, and experience hardening production systems—such as migrating cookie sessions to database-backed sessions for a Rails API serving millions of users. Kai contributes to notable open-source projects, including refinements to Werkzeug’s debugger and file handling, and has strengthened test suites across coala-bears, underscoring a focus on reliability and maintainability. Comfortable across languages and stacks (Go, React, Redux, Django, Rails), he pairs backend systems thinking with front-end polish and a practical QA mindset. An approachable engineer who has reduced operational response times and improved developer workflows, he brings both production-scale impact and attention to developer experience.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at The University of British ColumbiaMLH FellowshipGoogle Code InHigh School Diploma High School, High School Diploma High School at Templeton Secondary
Github Skills (13)
javascript10
code-analysis10
wsgi10
python10
testing10
http9
file-handling9
debug8
debugging8
linter8
documentation7
javas6
java6
Programming languages (10)
Github contributions (5)
coala/coala-bears
Nov 2018 - Dec 2018
Bears for coala
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:8 commits, 8 PRs, 3 comments in 9 days
Contributions summary:Kai primarily focused on enhancing the test suite of the `coala-bears` repository. Their commits involved adding test cases for various Bears, including AlexBear, DocGrammarBear, GitRevertInspectBear, CPDBear, LanguageToolBear, VHDLLintBear, and JavaPMDBear. The changes included the addition of new tests to check for prerequisites, fix coverage drops, and mock error scenarios. This work demonstrates a strong focus on ensuring the quality and reliability of the code analysis tools.
linterpythonbearsgenericlanguages
pallets/werkzeug
Jun 2020 - Jul 2020
The comprehensive WSGI web application library.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:5 commits, 7 PRs, 15 comments in 24 days
Contributions summary:Kai contributed to the Werkzeug library by refactoring the debugger's JavaScript code, replacing jQuery with vanilla JavaScript for improved performance and maintainability. They also implemented the `send_file` function, adapting it from Flask and updating documentation, demonstrating an understanding of file handling and WSGI principles. Further contributions included modifying the test client to include the query string in relevant environment variables, and deprecating the development server shutdown function.
pythonweb-appweb-applicationpalletswerkzeug
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