Adam led efforts for AI and search at Aerospike, covering research and development of vector search and graph database offerings. Today he's focused on accelerating the pace of software development by founding Hevmind — a model-first consulting practice and search R&D lab where he helps teams wrangle search infra, write effective evals, and design for agents.

In 2012, Doug got bit by the search bug and he's still trying to keep up. From full-text search, to Learning to Rank models, to search agents that generate their own code, he knows the endless landscape first hand. Yet Doug wants to deeply understand the what / how / why, and help teams use these technologies practically, distinguishing hype from reality.

He’s led search at Reddit, Shopify, and Wikipedia, authored Relevant Search and AI Powered Search, and advised 100+ organizations over the years - all in pursuit of the same question: how does search actually work?