YaleComputerSociety/yaleims
Nov 2024 – Nov 2024
1 Month active
Languages Used
JavaScriptTypeScript
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentCloud FunctionsDatabase ManagementFirebase
btd2026
PROFILE
Btd2026
Brian Dibassinga developed and delivered end-to-end features for the YaleComputerSociety/yaleims repository, focusing on a real-time leaderboard system and enhanced match scheduling. He implemented a Get Leaderboard Cloud Function using TypeScript and Firebase, enabling dynamic college rankings with CORS support for seamless cross-origin integration. Brian improved data reliability by enriching match and schedule endpoints with complete college and sport details, and reinforced API robustness by wrapping request handlers with CORS. His work included UI enhancements in React for dynamic loading and real-time updates, and he ensured codebase consistency through collection name normalization, laying groundwork for scalable, production-ready backend and frontend systems.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
2
Lines of code
658
Activity Months1
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Work History
November 2024
8 Commits • 2 Features
Nov 1, 2024Concise monthly summary for 2024-11 focusing on business value and technical achievements for YaleIMS: - Key features delivered: Implemented Leaderboard System with a Get Leaderboard Cloud Function to retrieve and display college rankings by points, added CORS support for cross-origin access, and introduced UI improvements for dynamic loading and real-time ranking display. Minor collection name adjustments were made for consistency across the codebase. - Major bugs fixed: Data display and API reliability improved for Matches and Schedule data. Fixed getMatches and getSchedule display issues, enriched user-match data with full match details (colleges and sports), and reinforced API robustness by wrapping request handlers with CORS across multiple functions. - Overall impact and accomplishments: Delivered end-to-end features that enhance user engagement (real-time leaderboards) and data reliability (matches/schedules), reduced cross-origin friction for frontend and third-party integrations, and improved data consistency across the system. The work lays a solid foundation for production readiness and scalable feature growth. - Technologies/skills demonstrated: Cloud Functions (Get Leaderboard), CORS configuration and cross-origin API reliability, data enrichment and modeling (matches/schedules), UI/UX improvements for dynamic loading, and codebase consistency through collection name normalization.
8 Commits • 2 Features
Nov 1, 2024Concise monthly summary for 2024-11 focusing on business value and technical achievements for YaleIMS: - Key features delivered: Implemented Leaderboard System with a Get Leaderboard Cloud Function to retrieve and display college rankings by points, added CORS support for cross-origin access, and introduced UI improvements for dynamic loading and real-time ranking display. Minor collection name adjustments were made for consistency across the codebase. - Major bugs fixed: Data display and API reliability improved for Matches and Schedule data. Fixed getMatches and getSchedule display issues, enriched user-match data with full match details (colleges and sports), and reinforced API robustness by wrapping request handlers with CORS across multiple functions. - Overall impact and accomplishments: Delivered end-to-end features that enhance user engagement (real-time leaderboards) and data reliability (matches/schedules), reduced cross-origin friction for frontend and third-party integrations, and improved data consistency across the system. The work lays a solid foundation for production readiness and scalable feature growth. - Technologies/skills demonstrated: Cloud Functions (Get Leaderboard), CORS configuration and cross-origin API reliability, data enrichment and modeling (matches/schedules), UI/UX improvements for dynamic loading, and codebase consistency through collection name normalization.
November 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptTypeScript
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentCloud FunctionsDatabase ManagementFirebaseFirestoreFrontend DevelopmentNext.jsReactState Management
Repositories Contributed To
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