Agentic platforms
Internal systems, agent harnesses, memory, retrieval, integrations, and adoption loops.
Applied AI · production systems · ambiguous problems
I turn messy product, data, and infrastructure problems into production systems, working across discovery, architecture, modeling, and final implementation.
How I work
My strongest work is in the space where the problem is not yet clean: when the product opportunity, data model, technical architecture, and operating path all need to be discovered together.
I am useful because I can move between levels: framing the business question, designing the system, building the first version, setting up evaluation loops, and carrying the work into production with the team.
Current focus
Internal systems, agent harnesses, memory, retrieval, integrations, and adoption loops.
Practical evals, feedback loops, cost discipline, and production behavior that can be trusted.
Identity, profiles, ranking, automation, and systems where product and data shape each other.
Background
Distinguished Engineer, AI; executive committee member; led and built across AI, operations, and product systems.
Machine learning systems for risk detection and operational automation.
Early operating, strategy, engineering, forecasting, and founder experience across very different domains.
MBA and first-class engineering background, with a long-running interest in systems, incentives, and judgment.
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