Mohamed Hacine

– Designed and implemented fully remote driver onboarding system with MRZ scanning (ML Kit) for passport/ID data extraction and validation, followed by NFC chip reading to authenticate document authenticity, reducing manual processing time by 50% and eliminating fraudulent submissions – Implemented PKI-based verification and chain of trust authentication to ensure passport/ID integrity and compliance with Algeria's Public Key Infrastructure standards, validating cryptographic signatures across certificate hierarchy – Collaborated with the iOS team on Liveness Detection (ML Kit, Combine) and Biometric Face Matching (TensorFlow) integration for real-time identity verification, following Clean Architecture with MVVM pattern, Dagger Hilt for dependency injection(Android). – Architected and implemented real-time chat module using Phoenix Elixir WebSocket client and Kotlin Coroutines, collaborating with iOS team to ensure consistent cross-platform communication experience – Built robust offline-first architecture with message queuing using Room and DataStore, ensuring reliable message delivery and synchronization with Flows and LiveData for reactive UI updates

– Architected and delivered 4 native applications using Swift, Kotlin, SwiftUI, Jetpack Compose, serving 2,000+ users with Clean Architecture, MVVM, Dagger Hilt (Android),, replacing legacy React Native codebase, Firebase Authentication, Push Notifications (FCM), social authentication (Sign in with Apple/Google), Coil/Kingfisher for image caching, and published to App Store and Play Store.

– Developed and optimized Rider (100K+ downloads) and Driver (50K+ downloads) apps using Jetpack Compose, Jetpack Navigation, WorkManager, Paging, ViewModel, Coroutines, Flows, LiveData, and ViewBinding, improving UI responsiveness and reducing memory consumption by 15% – Implemented server-driven UI for Driver onboarding with Retrofit, Coil for image caching, and SharedPreferences, enabling dynamic updates without Play Store releases, reducing deployment time by 50% through CI/CD pipeline with GitHub Actions and Gradle. – Maintained 99.68% crash-free rate through Firebase Crashlytics monitoring, Firebase Authentication (FCM), and comprehensive testing using Espresso, resolving critical bugs identified via JIRA workflow following TDD practices .