Ahmed Mahmoud

•Built a robust RAG system that answers questions by semantically parsing and analyzing GitHub repositories,Supports (1000+ files less than •60s, 100MB, 15+ languages) with memory management to provide context-aware, multi-turn interactions. Built Obesity-Risk disease prediction model incorporating family history, achieving 12% accuracy improvement• over baseline methods. Engineered ML pipeline with advanced preprocessing, reducing false negatives by 5% through improved feature •engineering.