
Yixiao Zhang contributed to the BrewR-EPFL/BrewR repository by developing user-scoped journey management and a recommendation system, focusing on robust end-to-end flows and UI consistency. Leveraging Kotlin, Jetpack Compose, and Firebase Firestore, Yixiao implemented features such as user-specific data isolation, a coffee-themed UI palette, and a dedicated recommendation screen powered by KNN-based machine learning. The work included integrating ktfmt-based code formatting, enhancing test coverage with Mockito and unit tests, and refining navigation and onboarding experiences. These efforts improved code maintainability, data security, and user experience, demonstrating depth in Android development, backend integration, and modern testing practices.

December 2024 BrewR development improvements focused on code quality, feature delivery, and reliability. Key outcomes include a ktfmt-based formatting overhaul with fixes to ktfmtFormat, Journeys and KNN-aligned data access, a robust Recommendation UI and ViewModel, test coverage upgrades, and user-facing UX polish (About Us page). These changes deliver consistent code style, more accurate journey recommendations, and improved maintainability with stronger tests.
December 2024 BrewR development improvements focused on code quality, feature delivery, and reliability. Key outcomes include a ktfmt-based formatting overhaul with fixes to ktfmtFormat, Journeys and KNN-aligned data access, a robust Recommendation UI and ViewModel, test coverage upgrades, and user-facing UX polish (About Us page). These changes deliver consistent code style, more accurate journey recommendations, and improved maintainability with stronger tests.
November 2024: Delivered end-to-end journey and Explore flows with robust tests and UI polish, implemented user-scoped journeys in Firestore, reinforced branding with a coffee-themed UI, and strengthened the testing framework for reliability. These efforts improved release confidence, data isolation, and onboarding experience, while reducing manual QA overhead and enabling faster iteration on features. Notable changes include multiple commits across e2e tests (journey management, explore flow), UI improvements (JourneyRecord, photo sizing, theme), Firestore user-scoped data, and testing framework enhancements.
November 2024: Delivered end-to-end journey and Explore flows with robust tests and UI polish, implemented user-scoped journeys in Firestore, reinforced branding with a coffee-themed UI, and strengthened the testing framework for reliability. These efforts improved release confidence, data isolation, and onboarding experience, while reducing manual QA overhead and enabling faster iteration on features. Notable changes include multiple commits across e2e tests (journey management, explore flow), UI improvements (JourneyRecord, photo sizing, theme), Firestore user-scoped data, and testing framework enhancements.
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