About Jay Ozer
Jay Ozer — AI Engineering Leader
Jay Ozer is an AI engineering leader based in San Francisco. He builds production AI for document intelligence, autonomous agents, and regulated workflows. dataacrobat.com is his personal portfolio.
Production AI and engineering leadership
Jay is Senior Manager, Applied AI at Doma Technology, where he leads work on agentic systems for title-insurance automation. His background spans applied AI, data engineering, analytics, and engineering leadership. Before Doma, he worked at the Federal Reserve Bank of San Francisco.
His work includes DeedIQ for intelligent deed analysis, ClerkIQ for county document retrieval, and DiscoverIQ for autonomous county-portal navigation. He focuses on reliable systems with source evidence, evaluation, human review where it matters, and practical deployment processes.
Read the selected projects, professional experience, and patents for the details and published results.
Open source and teaching
Jay publishes developer tools and experiments covering local agents, browser automation, voice interfaces, and MCP servers. He also served as a teaching assistant for AI Makerspace's AI Engineering Bootcamp, Cohort 6, mentoring engineers building LLM, retrieval, and multi-agent applications.
Explore his open-source work or GitHub profile.
Background
Jay grew up in Istanbul and came to data and AI through engineering. His education includes a BEng in Chemical Engineering from Newcastle University, an MS in Industrial Engineering from the University of Central Florida, an MBA in Sustainable Business from San Francisco State University, and an MS in Data Science from Regis University.
He lives in San Francisco with his family. Away from work, he enjoys music, playing records, and long walks with their golden retriever, Hawley.
Connect with Jay Ozer
For a question about his published work, open Ask Jay. Developers can use the public API and read-only MCP tools.