Arun Badole is VP of Engineering at Mindbowser. He has 14+ years of experience in enterprise software engineering, with deep expertise in HL7 FHIR, SMART on FHIR, and EHR integrations.
His career spans consulting for global healthcare manufacturing firms to leading engineering teams through complex interoperability builds, HIPAA-compliant systems, and AI-powered clinical workflows at scale.
Arun started in mobile and distributed systems, the kind of foundational work where you learn how software actually breaks under load and how to build things that do not.
His thinking was shaped by early exposure to healthcare. The constraints are more complex, the stakes are real, and the systems do not forgive shortcuts.
He moved from Android development at Agile Technosys into enterprise consulting at a global healthcare manufacturing company. That stint gave him something most engineers do not get early: a firsthand read on how healthcare organizations actually think about technology adoption.
Not from a pitch deck, but from inside the procurement cycle, the integration team, and the support loop.
From there, Arun moved through a consistent arc at Mindbowser: SMTS to Team Lead to Head of Engineering to VP. Every step added a layer: more systems, more accountability, and more client exposure.
The thread running through it all was interoperability.
That is what Arun brings to Mindbowser. When a healthcare organization needs to understand how to wire its EHR to a custom clinical application, Arun brings a lens grounded in delivered integrations, not theory.
Engineer. Integration specialist. Engineering leader. 14+ years of systems built to work under real healthcare constraints.
Arun serves as VP of Engineering at Mindbowser, where he leads the engineering function across custom healthcare builds, EHR integration projects, and AI-first clinical applications.
Arun’s engineering journey includes:
• Android developer at Agile Technosys during his early career
• Consultant at a healthcare manufacturing company
• Engineering progression at Mindbowser: SMTS → Team Lead → Head of Engineering → VP of Engineering
Arun’s foundation is in mobile and distributed systems. While that may sound far from healthcare interoperability, the skills transfer directly.
Building for mobile taught him to write tight, reliable code that performs under constraint. Distributed systems taught him how failures propagate and how to design for them.
Healthcare simply raised the stakes on both.
#➤# HL7 FHIR implementation and standards compliance
#➤# SMART on FHIR application development
#➤# EHR integrations with Epic, Cerner, and Athena
#➤# HIPAA-compliant system architecture
#➤# Healthcare API design and integration strategy
#➤# Distributed systems and enterprise application engineering
#➤# AI-first engineering for clinical workflows
#➤# Engineering team leadership and delivery management
• 14+ years in software engineering across mobile, distributed systems, and enterprise platforms
• Early career foundation at Agile Technosys in Android development and application engineering
• On-the-ground consulting experience at a global healthcare manufacturing company
• Led HL7 FHIR and SMART on FHIR integration builds at Mindbowser across multiple clinical clients
• Delivered EHR integrations with Epic, Cerner, and Athena in production-grade healthcare environments
• Architected HIPAA-compliant systems across Mindbowser’s custom healthcare product portfolio
• Progressed from individual contributor to VP of engineering leadership, building and scaling engineering delivery capability
• VP of Engineering at Mindbowser and senior technical voice on interoperability and healthcare system integrations
• Career arc from hands-on mobile and distributed engineering to full-cycle healthcare integration leadership
• Client-side exposure through a global healthcare manufacturing company, providing an inside-the-health-system perspective on technology adoption
• Reads the FHIR spec, then reads it again, making no assumptions about what the vendor actually implemented
• Builds integration scaffolding before the first API call so failures are caught early, not at go-live
• Runs tight reviews on code that touches HIPAA-regulated data, with extra scrutiny on logging, authentication, and data-access paths
• Works backward from clinical workflow to technical spec because integrations that do not fit the workflow do not ship
• Keeps a running log of integration quirks per EHR, creating institutional memory that speeds every subsequent build
• Escalates standards ambiguity to the team before it becomes a production bug
• Integrations that do not fit the clinical workflow do not ship
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