acm-ucr/CSE-AI-resources
Mar 2025 – Apr 2025
2 Months active
Languages Used
JavaScriptTypeScriptCSSHTMLPython
Technical Skills
Front End DevelopmentNext.jsReactContent ManagementCurriculum DevelopmentData Formatting
Jerry
PROFILE
Jerry
During a two-month period, Jeli contributed to the acm-ucr/CSE-AI-resources repository by building and enhancing resource discovery features and improving the user interface. Jeli developed a dedicated Resources page section for YouTube channel recommendations, modularized data handling by separating YouTube data, and refactored the data model for maintainability. In April, Jeli expanded the AI Resources Center with richer course details, improved dropdown components, and enabled JSON data output for interoperability. Using React, TypeScript, and Tailwind CSS, Jeli also refreshed the homepage and landing page visuals, streamlined components, and addressed UI stability, demonstrating thoughtful frontend engineering and data management practices.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
14Total
Bugs
1
Commits
14
Features
3
Lines of code
3,656
Activity Months2
Your Network
16 people
Work History
April 2025
13 Commits • 2 Features
Apr 1, 2025April 2025 performance summary for acm-ucr/CSE-AI-resources: Delivered two major features enhancing resource discovery and presentation, plus UI polish that improved the landing experience. The work improves data interoperability, user engagement, and downstream integration readiness.
13 Commits • 2 Features
Apr 1, 2025April 2025 performance summary for acm-ucr/CSE-AI-resources: Delivered two major features enhancing resource discovery and presentation, plus UI polish that improved the landing experience. The work improves data interoperability, user engagement, and downstream integration readiness.
April 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025Month 2025-03 summary: Delivered the Resources Page - YouTube Channel Recommendations feature for acm-ucr/CSE-AI-resources. Added a new UI section and component to display recommended YouTube channels, and refactored data handling by separating YouTube data into its own file and removing embedded YouTube channel information. This work reduces data coupling, enhances maintainability, and paves the way for scalable content recommendations. No major bugs were reported this month. Key business value includes improved user access to curated resources, faster future updates, and more reliable data sources. The work demonstrates frontend componentization, data modeling/modularization, and disciplined version control, with the related commit 7834946c44f4b41ff8eab6545319867dd656b862.
March 2025
1 Commits • 1 Features
Mar 1, 2025Month 2025-03 summary: Delivered the Resources Page - YouTube Channel Recommendations feature for acm-ucr/CSE-AI-resources. Added a new UI section and component to display recommended YouTube channels, and refactored data handling by separating YouTube data into its own file and removing embedded YouTube channel information. This work reduces data coupling, enhances maintainability, and paves the way for scalable content recommendations. No major bugs were reported this month. Key business value includes improved user access to curated resources, faster future updates, and more reliable data sources. The work demonstrates frontend componentization, data modeling/modularization, and disciplined version control, with the related commit 7834946c44f4b41ff8eab6545319867dd656b862.
Activity
Loading activity data...
Quality Metrics
Correctness84.4%
Maintainability85.8%
Architecture80.0%
Performance83.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptPythonTypeScript
Technical Skills
Content ManagementCurriculum DevelopmentData FormattingData ManagementDocumentationFront End DevelopmentFront-end DevelopmentFrontend DevelopmentJSON SerializationNext.jsReactRefactoringTailwind CSSTechnical WritingTypeScript
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline