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Multidisciplinary Full-Stack MERN developer and AI engineer specialized in deep learning, computer vision, and NLP. Experienced in building scalable web applications, real-time video intelligence systems, AI-powered platforms, and large-scale data pipelines—from data ingestion and preprocessing to model evaluation, deployment, and UI integration.
Click skill-cards to reveal what I use to build products, pipelines, and real-time systems.
The highest-signal projects — built end-to-end, measured, shipped.
Correcting noisy Arabic text using Transformer-based architecture (T5) with a large-scale scraped dataset pipeline.
Real-time school bus tracking and management platform with dashboards for drivers and parents.
Product management system with 14+ backend endpoints and a frontend state store aligned with backend logic.
Multi-vendor e-commerce platform allowing users to create their own stores and sell products online.
Clinical radiology learning system allowing doctors and students to upload, annotate, and study dental radiology images.
Automated scraping pipeline collecting large-scale Arabic news data for NLP training datasets.
Everything I’ve built (or helped build), cataloged.
Correcting noisy Arabic text using Transformer-based architecture (T5) with a large-scale scraped dataset pipeline.
Multi-vendor e-commerce platform allowing users to create their own stores and sell products online.
Clinical radiology learning system allowing doctors and students to upload, annotate, and study dental radiology images.
Automated scraping pipeline collecting large-scale Arabic news data for NLP training datasets.
Interactive tourism platform presenting Egyptian attractions with maps and rich visuals.
2D tower defense game inspired by Plants vs Zombies with resource management and enemy waves.
Application designed for structured entry of tourism datasets including landmarks, attractions, and hotels.
Automation script extracting tourism data from Booking.com and TripAdvisor.
Interactive simulator visualizing common CPU scheduling algorithms with dynamic Gantt charts.
Simulator demonstrating the fetch–decode–execute cycle for assembly-like instructions.
End-to-end real-time behavioral video analysis platform supporting RTSP streams and uploaded video. Implemented dual frame selection strategies (Skip Frame and Motion-Adaptive) to optimize inference performance under real-time constraints.
Experiments comparing Skip Frame Selection and Motion-Adaptive Frame Selection techniques to reduce computational cost while maintaining classification performance.
Comparative analysis of frame selection strategies for video classification using multiple 3D CNN architectures.
Real-time human pose classification pipeline combining YOLOv5 for detection and LSTM for sequence-based classification.
Real-time school bus tracking and management platform with dashboards for drivers and parents.
Product management system with 14+ backend endpoints and a frontend state store aligned with backend logic.
Flutter development environment configuration, emulator performance diagnosis, and Android tooling troubleshooting.
Proof of work, momentum, and range.
Professional certifications and credentials earned.
Continuous learning and skill development.
Recognition and honors received.
How I design under real-world constraints: latency, scale, security, and maintainability.
Email me or reach out via social links.