Darshit Rajnikant Panchal

Lead Healthcare Interoperability Architect

darshit@example.com +1 (234) 567-890 New Jersey, USA LinkedIn

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Summary

Senior/principal-level architect specializing in cloud-native healthcare integration and interoperability. Drives adoption of HL7® FHIR® and SMART on FHIR solutions while leading cross-functional teams to deliver resilient APIs and data pipelines. Champions DevOps practices across AWS and Kubernetes, ensuring compliant, secure, and scalable platforms. Passionate about applying AI and machine learning to improve clinical workflows and patient outcomes.

Core Competencies

Interoperability

HL7, FHIR, SMART on FHIR, X12, CDA

Integration Engines

Mirth Connect, Rhapsody, Corepoint, MuleSoft

Programming

Python, Java/Spring Boot, TypeScript, Go, SQL, Bash

Cloud/DevOps

AWS, Docker, Kubernetes, Terraform, Jenkins

Data/Analytics

PostgreSQL, MongoDB, Redis, Kafka, ELK stack

Security/Compliance

HIPAA, OAuth2, TEFCA, OIDC, SOC2

AI/ML

TensorFlow, NLP, Clinical ML, De-ID techniques

Experience

Lead Interoperability Architect – RAAPID INC

2023 – Present | Mirth, FHIR, AWS

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Designed cloud-native FHIR gateway handling millions of transactions.
Guided adoption of TEFCA-compliant exchange across partners.
Mentored engineering teams across integration and platform groups.

Senior Integration Engineer – Azova

2021 – 2023 | Rhapsody, HL7, Kubernetes

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Built scalable interfaces delivering real‑time patient scheduling.
Introduced automated testing pipeline reducing defects by 30%.
Led cross‑functional initiatives with product and clinical teams.

Principal Engineer – FAANG Health Division

2018 – 2021 | Spring Boot, Kafka, Terraform

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Architected interoperability platform powering nationwide health apps.
Deployed secure API management with OAuth2/OIDC.
Championed AI-driven analytics to predict clinical no‑shows.

Certifications & Education

Certifications

AWS Certified Solutions Architect
HL7 Certified Specialist
Certified Kubernetes Administrator
Epic Bridges

Education

MS in Computer Science, 2026
B.E. in Information Technology

Projects & Open Source

FHIR Mapping Library

Reusable transformations for HL7v2 ↔ FHIR resources.
Cloud-native EHR Connector

Serverless connector enabling secure EHR access.
AI-Powered No-show Predictor

Machine learning model anticipating patient no‑shows.
Blog & Talks

HIMSS 2026: Scaling Interoperability with FHIR.

DRP