Healthcare Interoperability Architect & Published Researcher
Building the future of clinical data exchange at national scale
About
I am Sai Rupesh Kagga, a Senior Software Developer and Healthcare Interoperability Architect at SanQuest Inc. with over 9 years of enterprise engineering experience — 7+ of which have been dedicated to transforming how healthcare systems communicate across the United States.
My work sits at the intersection of clinical standards, cloud architecture, and applied AI. I design systems that move patient data securely and in real time across complex healthcare ecosystems — from national FHIR API platforms to dialysis interoperability frameworks — directly improving outcomes for millions of patients.
Beyond engineering, I contribute to the healthcare technology community as a published researcher with 9 peer-reviewed papers and 30+ citations on Google Scholar, and as an expert judge for global technology award programs.
ORCID: 0009-0000-7893-3861
"It's not just about numbers. A missed payment could affect someone's treatment, and that's what keeps me focused."
— Sai Rupesh Kagga, NetNewsLedger, July 2025
FHIR, HL7, HIPAA-compliant enterprise integration across national health systems
9 peer-reviewed papers · 30+ citations · Google Scholar indexed
Evaluates AI & tech innovations for global Business Intelligence Group award programs
Architects scalable, secure microservices on AWS, Azure, GCP with Kubernetes
Multi-agent LLMs, federated learning, and clinical AI under HIPAA & GDPR
Featured in NetNewsLedger · Keynote Speaker at ICAEAS 2025 & WCSC 2026
Expertise
A deep stack spanning healthcare standards, enterprise middleware, cloud infrastructure, and modern AI integration patterns.
Architecting FHIR-compliant APIs and HL7 integration layers for seamless clinical data exchange across dialysis platforms, EHRs, and payer networks at national scale.
Designing real-time data integration workflows using Apache Camel and Red Hat Fuse, connecting disparate clinical platforms with reliability and zero data loss.
Designing national-scale API ecosystems on Apigee with OAuth 2.0, rate limiting, threat protection, and multi-tenant developer portal experiences.
Building cloud-native microservices with Spring Boot and Kubernetes for modular, independently deployable healthcare data services at enterprise scale.
Deploying HIPAA-compliant healthcare workloads on AWS, Azure, and GCP. Unified data access with Denodo and Google Pub/Sub across distributed health systems.
Multi-agent LLMs, federated AI for clinical diagnostics, conversational AI for health benefits navigation — all with HIPAA, GDPR, and FHIR compliance.
Experience
Architecting enterprise-scale healthcare integration and interoperability solutions for one of the largest kidney care providers in the U.S.
Contributed to enterprise application development using Agile methodology across a modern full-stack architecture.
Developed and maintained enterprise Java EE applications for a global submarine communications cable company, within the Network Management System (NMS) team.
Designed and developed enterprise Java applications with a focus on backend services, REST APIs, and full-stack integration.
Bridged business requirements and technical implementation across Spring Boot microservices and enterprise Java applications.
Research & Publications
Contributing original research to healthcare technology, FHIR interoperability, AI/ML, and cloud engineering — indexed on Google Scholar.
Investigates Apache Camel and Red Hat Fuse implementations across major U.S. healthcare delivery systems, demonstrating real-time data integration improvements and workflow automation at scale.
Presents a data virtualization framework using Denodo and Google Pub/Sub to provide unified, real-time data access across distributed healthcare systems without data movement.
Comprehensive analysis of AI-assisted migration strategies for legacy healthcare systems, covering risk patterns, cost optimization, and HIPAA compliance preservation throughout migration.
Examines architectural patterns for highly available, patient-centric backend systems using Spring Boot microservices orchestrated with Kubernetes, with focus on healthcare data sovereignty.
Proposes a multi-modal AI framework fusing EHR records, dialysis machine telemetry, and wearable sensor data for early detection of life-threatening complications in end-stage kidney disease patients.
Examines the transformative role of Artificial Intelligence in Human Resource Management, presenting frameworks for AI-driven workforce competency development and measuring organizational effectiveness through intelligent HR systems.
Presents federated learning architecture for clinical diagnostics preserving patient privacy while achieving scalable AI model training across distributed hospital networks.
Designs a HIPAA-compliant big data pipeline enabling real-time health benefits navigation through conversational AI, helping patients and administrators query complex insurance data naturally.
Establishes cloud-native orchestration patterns for deploying multi-agent LLM systems in healthcare, satisfying HIPAA, GDPR, and HL7 FHIR interoperability requirements simultaneously.
Speaking Engagements
Invited to share expertise at international academic and industry conferences — a hallmark of recognized extraordinary ability in the field.
Recognition
Recognized by global industry bodies as an expert in AI, healthcare technology, and enterprise innovation.
Evaluates submissions for the Artificial Intelligence Excellence Awards — one of the industry's most respected AI recognition programs — assessing real-world AI innovation and impact across industries.
Selected to evaluate technology-driven customer experience transformations for the Excellence in Customer Service Awards, identifying organizations leveraging tech for exceptional outcomes.
Selected as one of ~400 expert judges for Evan Kirstel's We Love Tech Awards — launched at CES 2025 by top B2B tech influencer Evan Kirstel (550K+ followers across LinkedIn, YouTube & podcasts) in partnership with Business Intelligence Group. Evaluates breakthrough enterprise tech across AI, cloud, cybersecurity, SaaS, and IoT across 15 solution categories.
Featured as a thought leader and technical authority on FHIR API ecosystems in MedCity News — a premier publication covering the business of healthcare innovation.
Holds a verified ORCID researcher identity with peer-reviewed publications indexed on Google Scholar, establishing a credible scientific record in healthcare informatics.
9 publications with 30+ citations, h-index 3, and i10-index 3 — making contributions to healthcare interoperability accessible to the global research community.
Invited as a peer reviewer for 30+ manuscripts across Scopus-indexed and Springer journals — a recognition by the global academic community of expertise in healthcare technology, cloud engineering, and AI integration. Peer review roles are extended only to recognized domain experts.
Selected as an expert judge for the Prime Health Innovation Challenge 2026 — Colorado's premier digital health innovation competition running since 2014, focused on achieving the Quadruple Aim: better patient experience, better provider experience, improved population health, and lower costs. Judges evaluate pioneering digital health companies seeking to pilot solutions with major healthcare organizations across a rigorous 3-round judging process.
Invited as a judge for the 2026 Philadelphia Future City Competition — a national STEM engineering program where middle school students (Grades 6–8) design and present cities of the future. The 2026 theme is "Farm to Table." Regional finals held in Philadelphia; national finals in Washington, D.C. Being chosen as a judge reflects recognized expertise across engineering, technology, and innovation.
Invited as a judge at the Business Professionals of America (BPA) National Leadership Conference 2026 — held May 6–10 at the Gaylord Opryland Resort & Convention Center, Nashville, Tennessee. BPA is one of the nation's largest student business organizations, and the NLC is its flagship competitive event, drawing thousands of students from across the U.S. competing in business, technology, and leadership disciplines.
Selected as a judge for MIT Reality Hack 2026 — one of the world's premier XR (Extended Reality / AR & VR) hackathons held at MIT, Cambridge MA, co-organized by VR/AR@MIT and sponsored by Qualcomm. Participants build cutting-edge spatial computing prototypes judged by global technology leaders. Being selected as a judge places Sai Rupesh among an elite group of innovators shaping the future of immersive technology.
View LinkedIn Announcement →Impact
Sai Rupesh Kagga's body of work represents a rare convergence of deep technical expertise, original research contributions, and recognized industry authority. As a published researcher with 30+ citations, an invited Keynote Speaker at ICAEAS 2025, a judge across 7 global programs including MIT Reality Hack 2026 and Prime Health Innovation, a peer reviewer for 30+ manuscripts in Scopus and Springer journals, and the architect of national-scale healthcare API ecosystems — he has demonstrated sustained, extraordinary contributions to healthcare interoperability and emerging technology with direct impact on millions of patients across the United States.
Certifications
Education
Contact
Open to research collaborations, speaking engagements, healthcare technology consulting, and strategic partnerships. Let's build the future of healthcare interoperability together.