Flutter Developer • Clean Architecture • AI-Powered Mobile Apps

I'm a Flutter Developer and Information Systems fresh graduate (Class of 2026, GPA 3.1) from Beni-Suef University, focused on building scalable, well-structured mobile applications using clean, maintainable, and testable code.

My experience spans Flutter & Dart, BLoC/Cubit, Clean Architecture, and AI API integration — from a national initiative mega project, to an IoT & AI graduation project, to a production-grade AI app with its own secure backend.

I completed the Digital Egypt Pioneers Initiative (DEPI) as a Flutter Development Intern, where I:

• 🏆 Led the Flutter team on Qanouny, selected as a Top Project of the initiative
• 🥈 Ranked 2nd place in the Freelancing Track within my group, with a recognition certificate from El-Hareefa Company

✅ Military Service: Exempt · Available immediately

Flagship Product • Role: Solo Developer • Launching on Google Play

An Arabic-first, AI-powered study companion. Students paste notes or import a PDF, and the app generates a detailed summary, key points, and a 20+ question quiz with scoring and explanations — in Arabic or English.

Built end-to-end with Clean Architecture (strict presentation → domain ← data boundaries), Dart 3 sealed classes and pattern matching (no code generation), and a secure server-side AI proxy on Cloudflare Workers — the AI key never reaches the client, and every request is authenticated with a Firebase ID token and rate-limited per user.

Tech highlights: Flutter • Dart 3 • BLoC/Cubit • Clean Architecture • get_it • Firebase (Auth/Firestore) • Cloudflare Workers + Workers AI (Llama 3.3) • TypeScript

Top Project, DEPI Round 3 • Role: Flutter Team Lead

A cross-functional legal services app built in collaboration with AI and Data Engineering teams. Enables users to access legal information, submit inquiries, and interact with an AI-powered legal assistant.

Tech highlights: Flutter • BLoC • Clean Architecture • REST APIs • AI Integration • Team Leadership

Graduation Project • Grade: A

An Arduino & ESP32-CAM system for real-time plant vitals tracking and AI-driven disease diagnosis, paired with a mobile app that generates comprehensive treatment plans and tracks recovery until full plant rehabilitation.

Tech highlights: Flutter • IoT (Arduino, ESP32-CAM) • AI Image Recognition • Real-time Data Streams

Clean Architecture Showcase

A Flutter app fully structured with Clean Architecture — layered design, dependency injection, and best practices for testable, maintainable code.

Tech highlights: Flutter • BLoC • Clean Architecture • Dependency Injection • REST APIs • Error Handling

• Flutter & Dart (incl. Dart 3 sealed classes & pattern matching)
• Clean Architecture, MVVM & SOLID Principles
• State Management (BLoC / Cubit / Provider)
• AI API Integration & LLM-powered features
• Firebase (Auth, Firestore, Cloud Storage) & REST APIs
• Cloudflare Workers (secure backend proxies)
• Payment Integration (Stripe, PayPal)
• Responsive & Adaptive UI
• Git & GitHub

• Shipping Lakhasha to Google Play
• Strengthening testing skills (unit & widget tests) and CI/CD
• Open to Flutter developer roles

I believe consistency, discipline, and real practice are the foundation of long-term growth.

Building with purpose. Writing code that scales.