Josh Mantovani

AI engineer at ZoomInfo, working the applied-LLM and data-platform end of the stack. His public professional profile describes building data warehouses that turn raw data into structured, scalable systems for performance tracking and benchmarking, designing retrieval-augmented generation (RAG) systems and self-optimizing pipelines, and developing LLMs for organizations including the United Nations. He comes to AI from research psychology and classical statistics — an M.A. in psychological science — and the toolkit shows it: experimental design, statistical inference and forecasting alongside Python, SQL, cloud and the usual ML frameworks. Off the keyboard: snowboarding, Jiu Jitsu, riding into the mountains on his motorcycle, and training dogs.