Kevin Chen is an Associate Software Engineer and University of Virginia Computer Science student with 12 years of hands-on experience across software development, research, and operational roles. At Capital One he combines SRE and Kubernetes experience to manage ML platform infrastructure and API traffic on AWS, while earlier internships included iOS development and full-stack web projects. Kevin contributes to high-profile open-source work on microsoft/fluentui, improving React-based UI components and responsiveness for widely used web dashboards. His background spans data-focused internships, bio-research lab experience, and leading a STEM tutoring startup—evidence of strong technical versatility and community engagement. Comfortable across Python, React, Docker, and cloud tooling, he bridges frontend polish with backend reliability in production environments. Notably, he pairs enterprise engineering with a history of mentoring and program leadership that informs pragmatic, user-centered solutions.
12 years of coding experience
5 years of employment as a software developer
None, Computer Software Engineering, 12, None, Computer Software Engineering, 12 at Fairfax High School
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Virginia
Fluent UI web represents a collection of utilities, React components, and web components for building web applications.
Role in this project:
Front-end Developer
Contributions:6 commits, 5 PRs, 1 comment in 5 months
Contributions summary:Kevin primarily contributed to the development and enhancement of Fluent UI web components within the `microsoft/fluentui` repository. Their work focused on improving the user experience and fixing bugs within existing dashboard components, specifically related to the visual presentation and behavior of UI elements. The user implemented features like a new setup banner component and improved responsiveness, leveraging React and related UI framework tools. They also made minor improvements and adjustments based on RTL.
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