About

I work at the intersection of AI, enterprise knowledge, and product architecture, focusing on how complex systems understand, validate, and responsibly use information at scale.

My work centers on designing AI-ready knowledge systems — the structured, semantic, and governance layers that allow products to reason accurately, earn trust, and operate safely in high-stakes environments.

What I Focus On

I specialize in the often-overlooked middle layer between content and intelligence:

• Structuring enterprise knowledge so it can be reliably consumed by AI systems

• Designing semantic models, validation frameworks, and provenance strategies

• Enabling trustworthy retrieval, reasoning, and decision support

• Bridging product, engineering, and domain expertise

This work emphasizes accuracy, accountability, and scale, rather than model novelty or prompt optimization.

Background

My background spans computer science, health informatics, and business, with professional experience across education, legal, clinical decision support, and human capital management platforms.

I’ve worked in both large enterprises and startups, supporting product creation and delivery through content architecture, structured data, and knowledge systems. Across these domains, the common thread has been the same: helping organizations turn complex, regulated information into systems people can trust and use.

This Site

This site is a place to document patterns, experiments, and thinking around knowledge architecture for AI — what works, what fails, and what most conversations miss.