Orchestrating Healthcare with
Agentic Intelligence
Most architects build for clinical environments they've never stepped into; I spent 10 years in the "trenches" before writing a single line of agentic code.
"I am building the production-grade systems I spent 10 years designing 'mentally' in the field."
Academic Research & Compliance Foundations
Operational Intelligence
The "Rural Data Void"
Problem: Healthcare facilities in Tier-3 regional hubs lack standardized digital records, creating "Information Black Holes" that cause critical delays during patient transfers and care transitions.
Built OmniIngest: A Python-based bridge that accepts unstructured rural data (Excel/PDF) and normalizes it into ABDM-compliant FHIR JSON objects.
The "Compliance Panic"
Problem: Operations teams use WhatsApp/Excel for speed, bypassing DPDP laws and creating massive liability risks.
Designed a Pseudonymization Engine. It allows Ops teams to process logistics without ever seeing raw Patient PII, ensuring 100% legal compliance.
Agentic Clinical Bridge
Problem: Patient discharge is significantly delayed due to synchronization failures between clinical departments, administrative systems, and external payers.
Deployed specialized Agents that orchestrate clinical & billing data in real-time, reducing discharge TAT by ~50% via automated reasoning.
Agent Orchestration Architecture
Regional Hospital Nodes
Rural HL7/JSONOmniIngest Engine
Agentic PythonABDM / FHIR Cloud
DPDP ValidatedVision & Tech Stack
"By pairing deep clinical domain expertise with Agentic AI, I orchestrate complex healthcare workflows through 'Vibe Coding'—turning architectural vision into compliant, production-grade reality at 10x speed."
My toolset bridges the gap between raw data and actionable healthcare insights.