August 2025 performance highlights across Paris-Squad-S2/San3a and Paris-Squad-S2/Aflami focused on localization, data architecture, and scalable UI. Delivered multilingual support for Service data, refactored core entities and DTOs, and established a Flow-based data pipeline and robust use cases. Modernized service discovery and home/dashboard experiences with new remote data sources, use cases, and modular UI scaffolding. Strengthened testing, documentation, and release hygiene to accelerate future delivery and improve reliability.

July 2025 monthly summary for Paris-Squad-S2 repositories. The work delivered spans feature delivery, localization improvements, authentication and session management, rating workflows, and a major upgrade to test infrastructure. Highlights include parallel progress across Aflami, Tudee-App, and San3a with concrete business value realized through user-facing capabilities and robust technical groundwork. Key features delivered: - App Icon set: Dark and Light icons for Aflami (commit 938ccf60f...) and (0ca7a5e3...) - Refactor of AflamiAnimatedLogo animation to improve animation performance and readability - Introduced search remote datasource module to streamline remote data access and reduce coupling - JUnit5 migration and test configuration across modules, including Jupiter in version catalog and updated tests - Test infrastructure enhancements: shared test utilities, language test coverage, and Kotlin/JUnit5 support - Localization and multilingual support: Arabic translations and multilingual country names integrated into data models and UI flows - User Authentication and Session Management: IsLoggedInUseCase, GetSessionIdUseCase, HasAnySession, and authentication integration in AppNavigator for dynamic start destinations - Rating feature expansion: end-to-end rating use cases for movie and TV shows, with UI dialogs, repositories, and remote/local data source wiring - UI and navigation enhancements: AddToListDialog, RequestTitleContent, OK capitalization standardization, and home services data layer - Release/version management and notes updates across the project Major bugs fixed: - Removed unused expiredDate variable to clean up code paths - Refactored language-related tests and parameter handling, aligning with locale strategy changes (including removal of language parameter in some paths) - Fixed bug in country code search paths and updated tests to cover Arabic/English mappings - Addressed NoInternetConnectionException tests and related test coverage for categories/country/media retrieval - Cleaned up unused methods (e.g., addMovieToFavorite, addTvShowToFavorite) and removed redundant debug logging from rating flows Overall impact and accomplishments: - Substantial improvement in localization support, enabling multilingual country names and Arabic translations across data models, UI, and tests, resulting in better global user experience and market readiness. - Robust authentication and session management, enabling dynamic app start destinations, personalized UI flows, and secure session validation. - End-to-end rating flows for movies and TV shows, with UI, use cases, and repository wiring, supporting session-aware interactions and user feedback via snackbars. - Upgraded test infrastructure to JUnit 5/Jupiter with broader test coverage, enabling faster feedback and higher code quality. - Improved data access and search pathways via remote datasource module, plus resilient category/country data handling with language-informed data models. Technologies/skills demonstrated: - Kotlin, Android modern architecture, Repository/DataSource patterns - JUnit 5/Jupiter and Kotlin test tooling, Gradle configuration and versioning - Localization and internationalization (Arabic translations, multilingual country names) - API integration and remote data handling for search and rating flows - UI/UX enhancements and navigation flow: dialogs, snackbars, and dynamic start destinations

June 2025 performance summary for Paris-Squad-S2 across Tudee-App and Aflami. Delivered broad UI/UX enhancements, architecture refinements, accessibility and localization readiness, and design-system contributions that improve user experience, consistency, and engineering velocity. The work emphasizes business value through nicer interfaces, reduced maintenance debt, and faster feature delivery.