I design practical AI workflows that help teams streamline complex legal, IP, compliance, and operational processes.

My background spans legal operations, intellectual property, program management, and cross-functional systems design within high-growth technology environments. Over time, my work naturally evolved toward building AI-assisted workflows that improve consistency, reduce friction, and help teams scale decision-making more effectively.

I’m particularly interested in:

• AI agent workflows

• Prompt engineering and retrieval-based systems

• Human-in-the-loop operational design

• AI governance and review frameworks

• Knowledge management and workflow orchestration

Many of the concepts and experiments featured throughout this site explore how lightweight AI systems can support real-world operational work, especially in areas where accuracy, oversight, and process design matter.

In addition to building custom workflows, I regularly explore emerging open-source AI frameworks, publicly available repositories, and evolving agent architectures related to patent analysis, drafting, legal operations, and knowledge retrieval.

This site serves as a portfolio of workflow concepts, AI-enabled operational systems, and ongoing experimentation at the intersection of AI and complex business operations.