I help engineering and product leaders make Production AI and Agentic AI measurable, secure and operable. Engagements focus on architecture, evaluation, release controls, observability, human oversight, lifecycle evidence and resilient deployment.
A decision-ready view of what prevents an AI system from becoming reliable, measurable and governable in production.
A production-oriented agent architecture with bounded tools, evidence, evaluation and human control designed in from the start.
A secure lifecycle design for model and software delivery to edge fleets, including qualification, attestation, staged rollout and rollback.
You have a working AI or agent demo, but need evaluation, reliability, release discipline, observability or governance before scaling.
You need tools, RAG, MCP or agent workflows without granting uncontrolled authority or losing auditability.
You need secure model/software delivery, device trust, staged rollout, qualification evidence and rollback across industrial fleets.
Review Agentic AI Academy, AI Model Release Control Center, Human Intelligence Assurance Lab and Secure Edge AI Governance before deciding whether I am the right fit. I prefer evidence-led engagements with explicit scope and decision criteria.