LLM Product Strategy
I turn fuzzy “we should have AI” ideas into production flows: use cases, eval loops, UX, KPIs, rollout plans.
I build and deploy human-centered AI agents that are safe, auditable, and actually used.
I work directly with product, infra, and customer teams to take LLM systems from prototype to production — orchestration, eval, compliance, rollout. Most of my work ships into regulated environments like credit unions.
I turn fuzzy “we should have AI” ideas into production flows: use cases, eval loops, UX, KPIs, rollout plans.
Guardrails, verifier agents, policy enforcement, human-in-the-loop escalation. Keeps answers compliant and on-policy, not hallucinated.
I work with infra / integrations teams on orchestration, RAG, observability, and CI/CD so we can safely ship fast.
I’m an AI Forward Deployed Engineer at Eltropy, where I help financial institutions deploy trustworthy LLM-powered agents — chat, voice, and internal assistants that deliver value without sacrificing safety or compliance.
My work sits at the intersection of conversation design, orchestration, and control surfaces blending prompt engineering, integrations, and post-deployment evaluation to make sure intelligent systems act reliably under real-world pressure.
I’ve deployed 38+ AI agents across 20+ credit unions, building frameworks for agentic QA, retrieval-grounded reasoning, and verifier loops that keep models aligned and auditable in production.
Mission: Ship useful AI that respects constraints.