I'm an AI/ML Engineer and Computer Science graduate specializing in building production-grade AI systems — from healthcare AI and demand forecasting to computer vision and OCR pipelines. I care about solving real problems with rigorous engineering, not just notebooks that never ship.
🌊 I believe in bringing balance to messy data — every pipeline is a little bit of water (flow), fire (speed), earth (structure), and air (creativity).
- Top 20 Winner, EVA Group Limited (EVAI) Hackathon
- National 4th Place | Project Lead, Digitopia Competition (MCIT)
- Currently exploring: LLM fine-tuning, RAG systems, and AI agent workflows
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Healix AI-powered healthcare assistant app for hospitals. Provides chatbot-based symptom analysis, doctor recommendation, and preliminary medical reports for doctors.
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Sephora-ML-Benchmark Compares 8 algorithms (Linear Regression, Logistic Regression, Decision Tree, Random Forest, KNN, Naive Bayes, XGBoost, SVM) implemented from scratch (NumPy) vs. library versions.
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PharmaPulse AI A Streamlit dashboard for pharmacy demand forecasting, shortage risk visualization, redistribution planning, and AI-powered supply chain insights.
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Egyptian-ID-OCR-Pipeline End-to-end OCR pipeline for Egyptian National ID cards — OpenCV preprocessing (perspective transform, binarization), Tesseract Arabic/English recognition, and regex-based ID decoding.
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