Summary
Mahmoud Khaled is a data scientist and machine learning engineer with nine years of hands-on experience building and deploying AI systems across NLP, computer vision, and finance. Based in Cairo, he has delivered production-grade models—from YOLOv8-based floorplan segmentation and genetic-algorithm sprinkler optimization to portfolio forecasting, Bayesian real-estate recommendations, and LLM pipelines for legal document analysis. He combines MLOps and scalable serving (Docker, vLLM, CI/CD, multi-A100 inference) with research-driven model improvements that translated into measurable business impact, including faster backtesting and live trading revenue gains. Notably, he engineered a personalized Revit recommender and served models to 240+ users on Heroku, demonstrating a focus on practical, user-facing AI.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering, Computer Engineering, Bachelor of Engineering, Computer Engineering at Ain Shams University
Arabic, English