mlatsjsu/mlatsjsu-website
Nov 2024 – Nov 2024
1 Month active
Languages Used
SQLTypeScript
Technical Skills
API DevelopmentBackend DevelopmentDatabase InteractionDatabase ManagementError HandlingNext.js
YongenChen
PROFILE
Yongenchen
Worked on the mlatsjsu-website repository to deliver two major API enhancements focused on improving reliability and user experience. Developed a new Post Retrieval API endpoint with advanced filtering, sorting, and pagination, enabling more effective content discovery and personalized results. Also implemented a User Data Retrieval API, emphasizing robust error handling and input validation to ensure consistent, user-friendly responses. The work involved refactoring backend logic and aligning the API surface with evolving product requirements, which improved integration speed for front-end teams. Utilized TypeScript, SQL, and Next.js to manage database interactions, enhance error handling, and strengthen overall API reliability and observability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
2
Lines of code
445
Activity Months1
Your Network
14 peopleSame Organization
@sjsu.edu7
Work History
November 2024
5 Commits • 2 Features
Nov 1, 2024Month 2024-11: Delivered two major API enhancements for mlatsjsu-website, focusing on reliability, discoverability, and data quality. Key outcomes include migrating the Post Retrieval API to a new endpoint with enhanced filtering, sorting, and pagination to improve content discovery and personalization, and implementing a User Data Retrieval API with robust error handling and validation for consistent, user-friendly responses. The work strengthened API reliability, developer experience, and business value by enabling faster front-end integrations and more personalized content.
5 Commits • 2 Features
Nov 1, 2024Month 2024-11: Delivered two major API enhancements for mlatsjsu-website, focusing on reliability, discoverability, and data quality. Key outcomes include migrating the Post Retrieval API to a new endpoint with enhanced filtering, sorting, and pagination to improve content discovery and personalization, and implementing a User Data Retrieval API with robust error handling and validation for consistent, user-friendly responses. The work strengthened API reliability, developer experience, and business value by enabling faster front-end integrations and more personalized content.
November 2024
Activity
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Quality Metrics
Correctness74.0%
Maintainability68.0%
Architecture68.0%
Performance64.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
SQLTypeScript
Technical Skills
API DevelopmentBackend DevelopmentDatabase InteractionDatabase ManagementError HandlingNext.jsSQLTypeScript
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