August 2025 — Delivered a DI foundation with Dagger, added a Movie Rating API with UI presentation, completed broad architecture and module refactors (movies, TV show details, use-cases, navigation, trending/core), performed Gradle cleanup with reduced build friction, and expanded test coverage. Stabilized the product with hotfixes for search bar and movie time handling, addressed navigation issues, and adjusted content restrictions to OFF in user profiles. These changes improve maintainability, enable faster feature delivery, and enhance user-facing ratings experience, delivering clear business value and a more scalable codebase.

July 2025 performance summary for LondonSquad/Novix: Delivered core user-facing features, stabilized data flow with MVVM patterns and remote sourcing, and implemented UX improvements at scale. Key outcomes include a comprehensive Movie Details screen with remote data sources and tests, video fetching for both movies and TV shows, an enhanced top-rated UI powered by a ViewModel and integrated data sources, a new login screen UI with validation fixes, and enablement of Continue Watching via ViewModel. Supplemented by focused UI fixes (image view, reviews placeholders, tab layout, navigation flow) and unit test improvements for reliability and maintainability.

June 2025 performance highlights focused on strengthening offline data persistence, onboarding experience, and architecture modernization, with a new UI component for Novix. The work delivered business value through offline-first data access, improved data integrity, faster onboarding, and a scalable foundation for future features.