Independent AI Architect
I design the trust architecture that lets enterprises deploy autonomous agents in production.
Designing cryptographic authorization and delegation frameworks for autonomous AI agents. When Agent A delegates to Agent B, how do you guarantee authority can only decrease, never escalate? Four pending patents in cryptographic authorization, monotonic authority chains, AI decision auditability, and signal integrity for multi-agent systems.
Production architecture for Claude, OpenAI, and multi-agent systems in regulated industries. Deep specialization in financial services — banking, insurance, wealth management. Focused on the gap between proof-of-concept and production-grade deployment at enterprise scale.
Adversarial review of agentic systems. Trust model validation, failure mode analysis, and data pedigree governance. In multi-agent environments, accuracy degrades as agents consume each other's synthetic outputs. Designing systems that maintain epistemic integrity across recursive agent generations.
All four originated from production deployments.
Senior Solutions Engineer at Salesforce, Financial Services Industry.
Production experience with Claude API, Claude Code, OpenAI API, Model Context Protocol (MCP), and Agentforce.
Orange County, California.
The Agentic Trust Review — a fixed-scope, two-week engagement. A threat model of your agent architecture, an audit of every delegation chain, failure mode analysis, and written findings with a remediation plan. From there, we both know whether deeper work makes sense.