
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.
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.
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.

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