Aaron Hall is a hands-on AI engineer building real-world systems at the edge of modern machine learning. As a consultant at Source Allies, he ships production-ready solutions using generative AI and retrieval-augmented generation (RAG), focusing on what actually works beyond the demos. Previously, he was a Data Scientist at Los Alamos National Laboratory, applying machine learning at scale across high-performance computing environments and contributing to open-source ML infrastructure. With a PhD in Physics and experience spanning national labs, research, and full-stack development, Aaron brings a rare blend of technical depth and pragmatic engineering, helping teams turn powerful models into reliable, high-impact products.