Enterprise Architect | Agentic AI Governance
Current Projects
- ReelReport
- TellGovernment
- IBY
- CrowdBallot
Agentic AI Work
- OpenAI Agents SDK
- Model Context Protocol (MCP)
- Agent-to-Agent Communication
- Role-Based Access Control (RBAC) for AI
- GitHub Spec Kit
Publications
- Agents need *nix Permissions, Not Just Prompt Files
- Agents, Skills, and RBAC: How Agentic AI Actually Gets Work Done
- AI + Speckit: Turning Observability into Faster, More Predictable Engineering
- Vibe Coding Needs Guardrails: Why Rigid Ecosystems Are Safer for AI-Generated Code
Patents
- US12368907B1: Attesting the veracity of audiovisual depictions
- U.S. Application 12/698,681, issued as US8260847B2: System and method for scheduling an event over a network
- EP1122672A2: Method and system for calendar and personal information management
Philosophy
I am interested in the governance of autonomous systems. The next challenge in software engineering is not simply building AI agents, but building the controls, permissions, audit trails, observability, and operational safeguards that allow them to operate safely within enterprises. I want to help people build the environment where they can be confident that they can user AI safely and effectively.