Building governed, production-grade agentic AI for enterprise and healthcare.
I work at the intersection of cloud infrastructure, AI systems, and regulated healthcare environments, with experience building and scaling AI/cloud services at AWS and leading trustworthy agentic AI initiatives at Oracle Health.
Focus areas
A technical lane centered on the operational foundation that makes AI trustworthy in production.
Agentic AI infrastructure
Runtime architecture for systems that reason, call tools, coordinate workflows, and remain governable.
Healthcare AI systems
AI patterns for regulated healthcare environments where auditability, safety, and workflow fit matter.
Cloud-scale production systems
Operational discipline shaped by large-scale cloud infrastructure, reliability engineering, and service launch execution.
Governance and observability
Policy-aware execution, monitoring, evaluation, logging, and human oversight as first-class architecture.
Human-in-the-loop automation
Governed autonomy that escalates correctly and keeps accountable humans in control of high-stakes work.
Trustworthy AI
Moving enterprise AI from impressive prototypes toward systems organizations can safely operate at scale.
Working thesis
The future of AI will not be won by demos. It will be won by systems enterprises can safely operate, govern, monitor, and trust.
Selected recognition
- Expert commentary featured in Senior Executive on the hidden foundation of agentic AI.
- Profiled by TechBullion on cloud infrastructure, healthcare AI, and reliable autonomous systems.
- Covered by TechRound on trustworthy AI systems for regulated healthcare environments.