
Paul Tercier contributed to the SwEnt-Group8/Street-work-app repository, focusing on enhancing training and coaching features for Android. He implemented MVVM architecture with Kotlin and Jetpack Compose, enabling robust state management and seamless navigation across training flows. Paul introduced Bluetooth GATT server functionality for device communication, improved data modeling for park ratings and workouts, and reinforced backend integration with Firebase Firestore. His work included developing reusable UI components, refining timing logic, and expanding automated test coverage to stabilize CI/CD pipelines. Through consistent code formatting and documentation, Paul improved maintainability and accelerated feature delivery, demonstrating depth in both mobile and backend engineering.
December 2024 — Street-work-app monthly summary: This period delivered core UX improvements for training flows, reinforced data models, and expanded coaching capabilities, while stabilizing the test suite and CI processes to accelerate future releases. Key outcomes include a revamped TrainParamScreen with MVVM integration and parameter passing (time, sets, reps) across the training flow; the introduction of a reusable NumberPicker for Train screens; training hub UI refinements and timing logic enhancements (GraphData/CircularTimer/endTime); and a stronger coaching workflow with MVVM, Firestore-backed data, and PairingRequest handling. The team also advanced code quality and test coverage through ktfmt formatting, broader MVVM tests, coach/workout tests, and End-to-End testing improvements, alongside CI changes to reduce flaky builds.
December 2024 — Street-work-app monthly summary: This period delivered core UX improvements for training flows, reinforced data models, and expanded coaching capabilities, while stabilizing the test suite and CI processes to accelerate future releases. Key outcomes include a revamped TrainParamScreen with MVVM integration and parameter passing (time, sets, reps) across the training flow; the introduction of a reusable NumberPicker for Train screens; training hub UI refinements and timing logic enhancements (GraphData/CircularTimer/endTime); and a stronger coaching workflow with MVVM, Firestore-backed data, and PairingRequest handling. The team also advanced code quality and test coverage through ktfmt formatting, broader MVVM tests, coach/workout tests, and End-to-End testing improvements, alongside CI changes to reduce flaky builds.
November 2024 monthly summary for SwEnt-Group8/Street-work-app focusing on business value and technical achievements. Key improvements include migration to MutableStateFlow for core state management, Park rating enhancements, Bluetooth GATT and UI improvements, Workout MVVM architecture, and quality/guidance on formatting and tests. These changes enhance app responsiveness, data integrity, platform capabilities, and maintainability, enabling faster feature delivery and more reliable releases across the Street-work-app suite.
November 2024 monthly summary for SwEnt-Group8/Street-work-app focusing on business value and technical achievements. Key improvements include migration to MutableStateFlow for core state management, Park rating enhancements, Bluetooth GATT and UI improvements, Workout MVVM architecture, and quality/guidance on formatting and tests. These changes enhance app responsiveness, data integrity, platform capabilities, and maintainability, enabling faster feature delivery and more reliable releases across the Street-work-app suite.

Overview of all repositories you've contributed to across your timeline