I specialize in building high-performance, scalable mobile applications with a focus on clean code and exceptional user experiences. Currently, I am deeply involved in mobile computer vision and
real-time image processing.
- Frameworks: Flutter (Android, iOS, Web)
- Languages: Dart, JavaScript, Kotlin, Java
- State Management: BLoC, Riverpod, Provider, GetX
- Architecture: Clean Architecture, DDD (Domain-Driven Design), Solid Principles
- Backend & Tools: Firebase, Supabase, Google ML Kit, Docker, Git, CI/CD (GitHub Actions)
🌟 Featured Project: face_detection_camera
A smart Flutter camera plugin for automated face detection and liveness tracking.
- Core Tech: Google ML Kit, Camera API, Advanced Image Processing.
- Key Features: Real-time liveness detection, look-straight constraints, and auto-capture functionality.
- Architecture: Built with a modular approach to ensure high customizability and memory efficiency.
- 🚀 Enhancing face_detection_camera with advanced AI liveness detection.
- 🧪 Exploring Rust for high-performance mobile computations.
- 📚 Contributing to open-source Flutter packages.
Why this version is better:
- Stronger Headlines: Instead of "I am a dev," it uses "Mobile App Architect," which sounds more authoritative to recruiters.
- Highlighting Specialized Skills: It specifically mentions Mobile Computer Vision and Clean Architecture, which are high-value skills in the current market.
- Project Context: It explains why your face_detection_camera project is impressive (ML Kit, Real-time processing, Modular architecture) rather than just listing it.
- Visual Professionalism: Uses standardized badges and clean Markdown formatting.