Center-for-AI-Innovation/uiuc-chat-frontend
Mar 2026 – Mar 2026
1 Month active
Languages Used
CSSJSONJavaScriptTypeScriptYAML
Technical Skills
API DevelopmentAWSDockerGitHub ActionsNodeNode.js
Arjun Sivaraman
PROFILE
Arjun Sivaraman
Worked on the Center-for-AI-Innovation/uiuc-chat-frontend repository, delivering a user-facing drag-and-drop file upload feature for chat input with fullscreen UX and refined dropzone styling. Addressed maintainability by dynamically configuring the image description API base URL and synchronizing branch workflows to align configuration and test coverage. Restored previously removed tests and UI vision checks, improving reliability and coverage in the frontend. Cleaned system prompts to remove invalid math notation, enhancing clarity for math-related guidance. Utilized TypeScript, React, and Docker to implement these features, focusing on robust front end development, API flexibility, and streamlined CI/CD processes using GitHub Actions.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
7Total
Bugs
2
Commits
7
Features
3
Lines of code
386,439
Activity Months1
Your Network
18 peopleWork History
March 2026
7 Commits • 3 Features
Mar 1, 2026March 2026 monthly summary: Delivered user-facing drag-and-drop chat file upload with fullscreen UX and refined dropzone styling; restored tests and UI vision checks; synchronized repo workflows by merging main into fix-mathjax; implemented dynamic base URL for the image description API; and cleaned system prompts to remove invalid math notation. These changes improve user experience, testing reliability, maintainability, and API flexibility, enabling faster iteration and more robust guidance for math-related prompts.
7 Commits • 3 Features
Mar 1, 2026March 2026 monthly summary: Delivered user-facing drag-and-drop chat file upload with fullscreen UX and refined dropzone styling; restored tests and UI vision checks; synchronized repo workflows by merging main into fix-mathjax; implemented dynamic base URL for the image description API; and cleaned system prompts to remove invalid math notation. These changes improve user experience, testing reliability, maintainability, and API flexibility, enabling faster iteration and more robust guidance for math-related prompts.
March 2026
Activity
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Quality Metrics
Correctness97.2%
Maintainability91.4%
Architecture91.4%
Performance91.4%
AI Usage25.8%
Skills & Technologies
Programming Languages
CSSJSONJavaScriptTypeScriptYAML
Technical Skills
API DevelopmentAWSDockerGitHub ActionsNodeNode.jsReactTypeScriptfront end developmentfull stack development
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