Andrew Oh
Senior Frontend Engineer at DoorDash
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAndrew Oh is a frontend developer based in San Francisco with 11 years of experience designing and shipping user-facing interfaces and developer-facing documentation. He contributes to notable open-source projects — including Lyft’s Clutch and the data-quality toolkit cleanlab — where he’s delivered UI improvements, bug fixes, and component exports that improve both usability and maintainability. Equally at home in application UI and docs build systems, he has integrated web components and assistant tooling into documentation pipelines, showing a knack for bridging product UX with developer experience. Known for attention to detail, he focuses on pragmatic fixes that make complex infrastructure and data tools easier to use.
12 years of coding experience
12 years of employment as a software developer
University of California San Diego
Korean, Spanish, English
Github Skills (14)
html10
uid10
javascript10
material-ui10
front-end-development10
ui-design10
react10
documentation10
typescript-types9
typescript9
typescripts9
portal8
ai5
infrastructure-management4
Programming languages (7)
Github contributions (5)
lyft/clutch
Jan 2021 - Sep 2022
Extensible platform for infrastructure management
Role in this project:
Front-end Developer
Front-end DeveloperContributions:5 reviews, 7 commits, 10 PRs in 1 year 7 months
Contributions summary:Andrew primarily contributed to the front-end of the `clutch` repository, focusing on user interface improvements and bug fixes. Their work includes resolving dialog closing behavior, correcting a typo in an error message, and enhancing the `TableRow` component with an `onClick` handler. The user also standardized exports of core components and addressed styling issues related to radio buttons, further improving the application's user interface.
lyftdevopsansibleinfrastructureinfrastructure-management
cleanlab/cleanlab
Dec 2024 - Mar 2025
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Role in this project:Front-end Developer
Front-end DeveloperContributions:2 reviews, 7 PRs, 17 pushes in 3 months
Contributions summary:Andrew primarily focused on updating and modifying documentation-related files, specifically those related to the `agility-web-component`. They updated the assistant-related code, including the API key, assistant ID, title, and description within the documentation's HTML templates. Furthermore, the user made changes to the `conf.py` file and updated the included Javascript files, demonstrating a focus on updating the documentation build process. The user integrated and utilized the agility-web-component within the project documentation.
operationdata-preprocessingtext-annotationreal-world-datadata-labeling
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