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Hector

PROFILE

Hector

Hector Zheng developed core map and restaurant data features for the csci-499-fa24/Team1 repository over two months, focusing on frontend and backend integration using JavaScript, React, and Node.js. He built a restaurant details sidebar with inspection data and user reviews, connecting UI components to a Sequelize-backed data layer for consistent access. Hector enhanced map usability by implementing inspection grade filters, responsive UI styling, and optimized data loading with caching to improve performance. He expanded automated test coverage with Jest for both data retrieval and API endpoints, resulting in a more maintainable codebase and a smoother, faster user experience without reported bugs.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

16Total
Bugs
0
Commits
16
Features
5
Lines of code
2,301
Activity Months2

Your Network

5 people

Work History

December 2024

9 Commits • 3 Features

Dec 1, 2024

December 2024: Delivered key frontend map enhancements and expanded test coverage for Team1 (csci-499-fa24/Team1). Key features delivered include Map Performance and Data Loading Optimizations to improve rendering speed and data reliability through caching and smarter loading; Map UX and Filtering Enhancements with precise Type filtering, quick re-centering on the user's location, and responsive UI for filters and info windows; Testing Improvements for Locations API to expand test coverage for location data and inspection details. These changes drove faster map interactions, more reliable data presentation, and improved user experience, while increasing maintainability. Technologies demonstrated include frontend performance tuning, responsive CSS, and robust test suites for locations data.

November 2024

7 Commits • 2 Features

Nov 1, 2024

November 2024 performance summary for csci-499-fa24/Team1: Delivered core features that enhance restaurant data visibility and map usability, expanded test coverage, and refined UI to reduce complexity. Focused on business value by surfacing per-restaurant details, inspections, and reviews, while simplifying map filters for faster data exploration. No major bugs reported; stability improved through targeted testing and maintainability improvements across the data layer.

Activity

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Quality Metrics

Correctness85.6%
Maintainability85.0%
Architecture76.2%
Performance81.2%
AI Usage20.0%

Skills & Technologies

Programming Languages

CSSJavaScriptSQL

Technical Skills

API IntegrationAPI TestingAxiosBackend DevelopmentCSSCSS StylingData FetchingDatabase ManagementExpress.jsFront End DevelopmentFrontend DevelopmentGeolocation APIJavaScriptJestNext.js

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

csci-499-fa24/Team1

Nov 2024 Dec 2024
2 Months active

Languages Used

CSSJavaScriptSQL

Technical Skills

API IntegrationAPI TestingBackend DevelopmentCSSCSS StylingDatabase Management