class EmadAbdElHamied extends FlutterDeveloper {
final String name = "Emad Abd El-Hamied";
final String role = "Senior Flutter Developer";
final String location = "Egypt πͺπ¬";
final List<String> expertise = [
"Mobile App Architecture & Development",
"AI & Machine Learning Integration",
"Computer Vision (OpenCV, TensorFlow)",
"Natural Language Processing",
"Cross-platform Flutter Solutions",
];
final Map<String, String> currentlyDoing = {
"building" : "AI-powered Flutter applications",
"learning" : "Advanced ML algorithms & Cloud architecture",
"exploring": "Flutter + LLM integrations",
};
String get contact => "emadabdelhamied83@gmail.com";
}- π Currently building: Advanced Flutter apps with on-device AI integration
- π± Learning: Flutter 3.x internals, LLM APIs, and Cloud-native patterns
- π― Open to collaborate on: Open-source Flutter projects & AI/ML initiatives
- π¬ Ask me about: Flutter, Dart, Python, AI/ML, Computer Vision, NLP
- β‘ Fun fact: My debugging toolkit is 50% logic, 50% strategically placed print statements π
| π₯ Flutter & Mobile | π€ AI & ML | βοΈ Backend & Cloud |
|---|---|---|
| Flutter 3.x & Dart 3 | Computer Vision | Firebase / Firestore |
| Clean Architecture | NLP & LLM Integration | REST & GraphQL APIs |
| State Management (BLoC/Riverpod) | TensorFlow Lite | CI/CD & Automation |
| UI/UX & Animations | Pandas / NumPy | Git & GitHub Actions |
π§ Feel free to replace these with your actual projects!
| Project | Description | Tech |
|---|---|---|
| π€ AI Flutter App | On-device ML model inference in a Flutter app | Flutter, TFLite, Python |
| ποΈ CV Pipeline | Real-time object detection & tracking system | OpenCV, TensorFlow, Python |
| π± E-Commerce App | Full-featured shopping app with Firebase backend | Flutter, Dart, Firebase |
| π§ NLP Chatbot | Context-aware chatbot with NLP preprocessing | Python, NLP, REST API |


