Summary
Jake Downie is a Head of AI based in San Francisco with three years of hands-on experience building production ML systems and developer-facing AI products. He rose rapidly from software engineer roles at startups—where he engineered embedding-driven semantic search, autonomous research agents, and workflow generation ML architectures—to senior AI leadership at Bland. His background blends systems engineering, cloud architecture and full-stack development from co-founding an eDiscovery startup to deploying complex AWS and containerized solutions. Early research in quantum photonics and a history of Salesforce and enterprise automation work give him unusual fluency across experimental research, regulated finance systems, and scalable product engineering. Jake is comfortable moving ideas from PCB and detector-level prototypes to cloud-hosted APIs and user-facing applications, and he brings founder-level ownership to AI strategy and execution.
3 years of coding experience
5 years of employment as a software developer
BS, magna cum laude, Honors Program, BS, magna cum laude, Honors Program at Rochester Institute of Technology