Mundher Al-Shabi is a seasoned data scientist and AI expert. With extensive experience in LLM, ML, NLP, and computer vision, he has successfully led and deployed AI-driven solutions at global companies like Delivery Hero, N26, and Aerodyne. Currently, he leads ML and LLM-based projects, where he has spearheaded developing and deploying large-scale AI models, optimizing product matching, categorization, and semantic search. His work has significantly improved operational efficiency, reducing manual effort and enhancing customer experience. Previously, he led teams in financial crime prevention at N26, building fraud detection models that processed millions of real-time transactions. He has also worked on AI-powered safety and surveillance solutions for major industries, including oil and gas. He holds a PhD in AI-driven medical imaging from Monash University, with a strong research background in deep learning and transformer-based architectures. His work has been published in top-tier journals and conferences.