Moaz M.

Moaz Mohamed Sayed

AI Engineer | Machine Learning & Deep Learning Specialist

I'm an Artificial Intelligence student at Misr University for Science & Technology (CGPA 3.43/4.00, graduating 2026) with a strong track record of building and deploying real-world AI systems not just academic exercises.

My work spans the full ML pipeline: from processing satellite imagery with Google Earth Engine and training LightGBM models over millions of samples, to deploying production-ready APIs with FastAPI and Docker. My graduation project, EROSIGHT, is a full-stack AI platform that predicts soil erosion using a hybrid RUSLE + ML pipeline, achieving R²=0.980 on held-out test data a result that speaks for itself.

Beyond that, I've built medical imaging systems (brain tumor detection, dental X-ray classification), real-time computer vision pipelines (weapon detection, license plate recognition with YOLO + EasyOCR), and integrated them with databases like MongoDB and PostgreSQL.

What I bring to your project:

Python, TensorFlow, PyTorch, Scikit-learn, OpenCV

Computer Vision, NLP, Deep Learning, SQL

FastAPI, Docker, REST APIs, End-to-end deployment

I hold diplomas in Data Science & AI (AMIT, 94% grade) and AI & Machine Learning (ICT Hub, Excellent grade), and have presented research at international conferences including AMLTA'25 (Springer-affiliated).

I care about delivering results that actually work in production clean code, documented pipelines, and models that hold up on real data.