
Contributed to BookswapEPFL/Bookswap by delivering user-facing features and stabilizing the codebase over two months, focusing on chat functionality, messaging reliability, and onboarding improvements. Enhanced chat image handling, profile integration, and offline messaging, while aligning data models and strengthening security through encryption and input validation. Applied Kotlin and Java within an MVVM architecture, leveraging Jetpack Compose for UI development and Firebase for backend integration. Prioritized code quality with extensive end-to-end and unit testing, CI/CD debugging, and code refactoring. Addressed 53 bugs and implemented 19 features, ensuring robust test coverage, improved user experience, and a scalable, maintainable application foundation.
December 2024 monthly summary for BookswapEPFL/Bookswap focusing on delivering user-facing features and stabilizing the codebase. Highlights include robust messaging storage, enhanced profile/chat integration, end-to-end testing, and onboarding/addressing improvements, underpinned by architecture refinements and CI/test stability gains.
December 2024 monthly summary for BookswapEPFL/Bookswap focusing on delivering user-facing features and stabilizing the codebase. Highlights include robust messaging storage, enhanced profile/chat integration, end-to-end testing, and onboarding/addressing improvements, underpinned by architecture refinements and CI/test stability gains.
For November 2024, delivered notable features, performance improvements, and robust quality work in Bookswap, with a strong emphasis on user experience, data integrity, and release reliability. Highlights include advanced chat image handling, UX polish, and solid test coverage that reduces risk in production, while foundational data model and security improvements position the app well for scale.
For November 2024, delivered notable features, performance improvements, and robust quality work in Bookswap, with a strong emphasis on user experience, data integrity, and release reliability. Highlights include advanced chat image handling, UX polish, and solid test coverage that reduces risk in production, while foundational data model and security improvements position the app well for scale.

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