Summary
John Berryman is a seasoned AI engineering leader with 13+ years delivering production-grade search and large language model applications. He currently leads AI engineering at Tribe AI and serves as an AI consultant at Arcturus Labs, focusing on scaling GenAI systems, architectural feasibility, RAG, and model fine-tuning for real-world client problems. An author of Prompt Engineering for LLMs and Relevant Search, he brings deep hands-on experience from shaping code-search and Copilot-related products at GitHub, as well as building search-driven recommendations and neural tagging at Eventbrite. Based in Nashville, Tennessee, his career spans from enterprise search and data analytics to safety-focused software development at Barron Associates and other modern AI systems. He holds a Masters in Aerospace Engineering from Virginia Tech, a background that informs his disciplined, systems-thinking approach to complex, safety-conscious software projects.
13 years of coding experience
15 years of employment as a software developer
Masters Aerospace Engineering, Masters Aerospace Engineering at Virginia Tech
Japanese