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Clare Ahn

PROFILE

Clare Ahn

Worked on the Monash-FIT3170/2025W2-FindingNibbles repository, delivering four new features focused on enhancing restaurant data retrieval and user interface workflows. Leveraged Dart and Flutter to implement cuisine-based filtering, pagination, and sorting within the RestaurantService, enabling more precise and efficient data queries. Developed a user-centric filtering workflow on the HomePage, including a cuisine filter dialog and minimum rating filter with active filter chips for clear user feedback. Refactored the restaurant loading mechanism to use stateful loading, improving UI responsiveness and maintainability. Addressed UI edge cases by resolving dropdown population issues and applying theme-based styling to filter components.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

9Total
Bugs
0
Commits
9
Features
4
Lines of code
523
Activity Months1

Work History

May 2025

9 Commits • 4 Features

May 1, 2025

May 2025 monthly summary highlighting key accomplishments, business impact, and technical delivery for Monash-FIT3170/2025W2-FindingNibbles. Focused on delivering robust restaurant data retrieval, user-centric UI filtering workflows, and UI polish, coupled with a performance-friendly loading refactor and targeted UI bug fixes.

Activity

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Quality Metrics

Correctness81.2%
Maintainability82.2%
Architecture80.0%
Performance77.8%
AI Usage20.0%

Skills & Technologies

Programming Languages

Dart

Technical Skills

API IntegrationBackend DevelopmentFlutterFrontend DevelopmentService Layer ImplementationState ManagementThemingUI Development

Repositories Contributed To

1 repo

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

Monash-FIT3170/2025W2-FindingNibbles

May 2025 May 2025
1 Month active

Languages Used

Dart

Technical Skills

API IntegrationBackend DevelopmentFlutterFrontend DevelopmentService Layer ImplementationState Management