Summary
Jesse Hammond is an AI Strategy Lead with 11 years of experience translating large-language-model capabilities into practical product and business decisions across finance, insurance, defense, and gaming. He combines PhD-level research rigor in social science with hands-on ML engineering—working with agentic frameworks, RAG, fine-tuning, and memory systems—so he can both design evaluation protocols and ship production-ready models. Jesse has led analytics teams and roadmaps that delivered measurable savings in the tens of millions while pushing organizations toward outcome-focused metrics rather than vanity accuracy numbers. He’s fluent in communicating technical tradeoffs to senior leadership and has a track record of embedding models into workflows (APIs, dashboards, low-code apps) to drive operational change. Based in South Korea, Jesse brings the unusual mix of academic methodological depth and pragmatic product delivery, having moved from academic social-network research into high-impact applied AI roles. That background makes him particularly adept at designing robust evaluation and governance for GenAI use cases where the right deployment locus—on-device versus cloud—is a strategic decision.
11 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Political Science, Doctor of Philosophy (Ph.D.), Political Science at University of California, Davis
Bachelor’s Degree, International Relations and Global Studies, Bachelor’s Degree, International Relations and Global Studies at University of the Pacific
English