Mohamed Mahmoud Abo Al Saoud Rish

I'm an AI Engineer building end-to-end machine learning and deep learning solutions, from data pipelines and model evaluation to reliable production deployment. My work focuses on computer vision and Retrieval-Augmented Generation (RAG) systems.

As a Machine Learning Engineer Intern at FlyRank, I support model design, training, experimentation, data preprocessing, feature engineering, and pipeline development while gaining exposure to production-level ML workflows.

I've built projects including a real-time driver monitoring system using OpenCV, MediaPipe Face Mesh, and YOLO to detect drowsiness and distraction. I also developed biometric security, automated essay scoring, Titanic survival prediction, and multimodal cognitive learning systems.

My software engineering background spans full-stack development and Flutter mobile apps, helping me integrate AI capabilities into user-facing products. I'm comfortable collaborating across teams, owning technical decisions, and delivering projects from concept to completion.