VP and AI Platform Architect with 20+ years of enterprise systems experience

across financial services, healthcare IT, and cloud infrastructure.

I've spent my career at the intersection of AI capability and enterprise

constraint — architecting production AI/ML systems at scale, building

agentic data pipelines under GDPR and SOX compliance, and leading

cloud-native platform modernization across global organizations.

In parallel, I build AI-powered products end-to-end: a FHIR R4 healthcare

interoperability platform, an AI ambient scribe for medical practices,

and several other deployed applications.

I hold an M.S. in Data Analytics from the University of Maryland and a

B.E. in Computer Science from the University of Madras. I'm a patent

holder in distributed authentication architecture and a member of IEEE.

I write about enterprise AI architecture, practical LLM deployment, and

the real cost of building AI systems that actually work in production.