Building intelligent systems and bringing research into production that actually run in production
I'm an AI/ML Engineer who bridges the gap between cutting-edge research and production-grade systems. My focus is on building intelligent systems that are not only accurate but also reliable, efficient, and maintainable under real-world constraints.
My work spans the full lifecycle: designing RAG pipelines and hybrid retrieval systems, fine-tuning large language models with modern PEFT techniques, and engineering multi-modal AI solutions for detection, classification, and generation tasks.
I hold a B.S. in Computers & AI from Benha University, where my graduation project — a multi-modal AI-content detector — achieved over 95% accuracy across image, text, and audio modalities.
A fully deployed production RAG system with multi-session document Q&A. Features a FastAPI backend, a modern frontend, and persistent cloud storage — engineered for reliability under real hardware constraints.
Multi-modal AI-generated content detector covering images, text, and audio. Built as a graduation project using state-of-the-art detection architectures, deployed as a full-stack web application.
A comprehensive fine-tuning repository covering NLP tasks with deployed models on HuggingFace Spaces. Applies modern PEFT techniques for efficient training with minimal compute.
A hands-on end-to-end guide to building Retrieval-Augmented Generation systems — from semantic search fundamentals to full RAG pipelines. Designed for practitioners at all levels.
A complete implementation of a Large Language Model from scratch in pure PyTorch — built to deeply understand the internals of modern transformer architectures.
Two focused machine learning projects addressing real-world data challenges: class imbalance treatment and credit risk classification — both production-reliability focused.
Production-style ML applications demonstrating containerization, serving, and UI — taking trained models from notebook to fully functional deployable apps.
B.S. in Computers & Artificial Intelligence
Graduation Project: Catch the AI — multi-modal AI-generated content detector
I'm open to full-time roles, freelance projects, and research collaborations in AI/ML engineering.