Ahmed Ezzat - AI Engineer Portfolio

A modern, responsive portfolio website showcasing my expertise in Artificial Intelligence, Computer Vision, and Generative AI. Updated with correct social media links.

🚀 Live Demo

Visit the live portfolio: Ahmed Ezzat Portfolio

👨‍💻 About Me

I'm Ahmed Ezzat, an AI Engineer specializing in Computer Vision and Generative AI. I translate cutting-edge research into production-level solutions that make a real impact.

Key Highlights:

• 🎓 BS Computer Science from Helwan University (GPA: 3.27)
• 🏆 Manus Fellow - Hosting AI events and hackathons in Cairo
• 📊 13,000+ LinkedIn followers in the AI community
• 📝 IEEE Publications in plant leaf classification research
• 👥 IEEE ComSoc Chapter Chairman - Led 50+ volunteers

🛠️ Technical Skills

AI & Machine Learning

• Computer Vision (3+ years, Expert)
• Deep Learning (3+ years, Expert)
• Generative AI (2+ years, Advanced)
• RAG Systems (2+ years, Advanced)

Voice AI & NLP

• Text-to-Speech (2+ years, Expert)
• Speech Processing (2+ years, Advanced)
• Natural Language Processing (2+ years, Advanced)

Development & Deployment

• Python/PyTorch (4+ years, Expert)
• Model Deployment (2+ years, Advanced)
• Edge Computing (1+ years, Advanced)
• API Development (2+ years, Advanced)

Research & Leadership

• Research & Development (3+ years, Expert)
• IEEE Publications (1+ years, Advanced)
• Team Leadership (2+ years, Advanced)
• Community Building (2+ years, Expert)

💼 Professional Experience

• AI Engineer at GenArabia (Sep 2025 - Present)
• AI Engineer at Andalusi (June 2025 - Aug 2025)
• AI Engineer at E Connect Africa (June 2024 - May 2025)
• Site Supervisor at almentor (Feb 2024 - Nov 2024)
• ML Intern at TensorGraph (July 2023 - Aug 2023)
• Instructor at Developer Career (Dec 2022 - Jan 2024)

🎯 Featured Projects

1. Alzheimer MRI Classifier

Deep learning architecture for Alzheimer's Disease classification using MRI scans with comprehensive data preprocessing and hyperparameter tuning.

2. IEEE Plant Leaf Classification Research

Published research on lightweight plant leaf classification using transfer learning, designed for real-time classification on edge devices.

3. YOLOv8 Prohibited Object Detection

Graduation project implementing YOLOv8 for detecting prohibited objects in online exams, combined with eye-gaze tracking and Siamese network for face recognition.

4. License Plate Detection and OCR

License plate detection and OCR system for car service management platform in KSA, focused on data validation and model optimization.

5. Background Removal Model

Delivered background removal model with quantization optimization, reducing model size by 75% for deployment on edge devices like mobile phones.

🛠️ Tech Stack

Frontend

• React with TypeScript
• Tailwind CSS for styling
• Shadcn/ui components
• Lucide React icons
• Vite for build tooling

AI/ML Technologies

• Python & PyTorch
• Computer Vision (OpenCV, PIL)
• Deep Learning frameworks
• Generative AI models
• RAG Systems
• Text-to-Speech synthesis
• Edge Computing optimization

🚀 Getting Started

Prerequisites

• Node.js (v18 or higher)
• npm or yarn

Installation

1. Clone the repository:

git clone https://github.com/Ahmed-Ezzat20/ahmed-ezzat-portfolio.git
cd ahmed-ezzat-portfolio

2. Install dependencies:

npm install

3. Start the development server:

npm run dev

4. Open http://localhost:8080 in your browser.

Build for Production

npm run build

The built files will be in the dist directory.

📁 Project Structure

ahmed-ezzat-portfolio/
├── public/
│   ├── ai-background.jpg
│   └── ...
├── src/
│   ├── components/
│   │   ├── AboutSection.tsx
│   │   ├── ContactSection.tsx
│   │   ├── HeroSection.tsx
│   │   ├── PortfolioSection.tsx
│   │   └── ...
│   ├── constants/
│   │   ├── experienceData.ts
│   │   └── socialLinks.ts
│   ├── assets/
│   │   ├── ahmed-headshot.png
│   │   ├── company logos/
│   │   └── ...
│   └── pages/
│       └── Index.tsx
├── package.json
└── README.md

🎨 Features

• Responsive Design - Works perfectly on all devices
• Modern UI/UX - Clean, professional design
• Interactive Elements - Smooth animations and hover effects
• Professional Timeline - Experience showcase with real company logos
• Skills Categorization - Organized by expertise areas
• Project Showcase - Filterable portfolio with live demos
• Contact Integration - Multiple ways to get in touch
• SEO Optimized - Meta tags and structured data

📞 Contact

• Email: ahmedezzat0247@gmail.com
• Phone: +20 109 163 8280
• Location: Cairo, Egypt
• LinkedIn: Ahmed Ezzat
• GitHub: Ahmed-Ezzat20

📄 License

This project is open source and available under the MIT License.

🙏 Acknowledgments

• Built with modern web technologies
• Inspired by the AI and tech community
• Special thanks to the Manus AI community in Cairo

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