I deconstruct complex user problems to their root causes, leveraging Systems Theory to treat LLMs as probabilistic engines requiring rigorous governance. With over a decade of product leadership and development at Splunk and Workday, I specialize in rapid prototyping, RAG pipelines, and driving roadmaps from lab to production.
Selection Agent with Guided Explanations
I led the cross-functional team that built "SAGE," a RAG-based support agent that reduces ticket volume by 20%. It synthesizes live DOM signals with static documentation to provide instant resolution.
