Baradwaj Bandi Sudakara is a Staff Software Engineer and Program Manager at Ascension Health, specializing in intelligent automation, AI-driven engineering, cloud-native testing,healthcare interoperability, and enterprise technology modernization. He leads and contributes to large-scale healthcare transformation initiatives focused on SMART on FHIR integration, API automation, DevSecOps implementation, AI-assisted quality engineering, and cloud infrastructure validation. Baradwaj has extensive experience designing scalable engineering and automation frameworks using technologies including Selenium, Playwright, Cypress, Karate, RestAssured, Jenkins, GitHub Copilot, Google Cloud Platform (GCP), AI Agents, and Model Context Protocol (MCP)-enabled workflows. His work focuses on improving software reliability, accelerating CI/CD adoption, strengthening release governance, and enabling intelligent automation for enterprise healthcare platforms operating in highly regulated environments. In addition to his industry leadership, Baradwaj is an active researcher, conference speaker, reviewer, and published author in the fields of cloud-native testing, AI-assisted softwareengineering, intelligent automation, and DevOps-driven healthcare systems. He has presented at international technology conferences and contributed scholarly publications focused on integrating intelligent engineering practices into modern enterprise software delivery ecosystems. He holds professional certifications in Artificial Intelligence, Generative AI, Cloud Computing, and Automation Engineering from leading technology organizations including AWS, GoogleCloud, and Databricks. His professional interests include AI agents, MCP-enabled architectures, intelligent software systems, cloud engineering, healthcare technology innovation, and next-generation enterprise software delivery.

Building Resilient AI-Driven Healthcare Platforms: Leveraging AI Agents, MCPs, Cloud-Native Testing, and DevSecOps at Scale The rapid evolution of AI/ML systems, intelligent agents, and cloud-native architectures is transforming how enterprise healthcare platforms are designed, validated, and operated. Ashealthcare organizations increasingly adopt AI-driven workflows, Model Context Protocols (MCPs), and autonomous engineering agents, ensuring reliability, interoperability, scalability,and regulatory compliance across distributed ecosystems has become a critical challenge.  This presentation explores practical approaches for building resilient AI-powered healthcare platforms through the integration of intelligent automation, AI agents, MCP-enabledorchestration, cloud-native engineering, and DevSecOps methodologies. Drawing from real-world healthcare modernization initiatives, the session will demonstrate how advancedautomation frameworks and AI-assisted engineering practices can accelerate delivery while maintaining high standards of quality, security, and operational efficiency. Key discussion areas include SMART on FHIR interoperability validation, API and xAPI automation, AI-assisted testing workflows, MCP-based contextual integrations, intelligentagents for engineering productivity, CI/CD pipeline optimization, and scalable cloud testing practices on Google Cloud Platform (GCP). The session will also highlight the use of modernengineering technologies such as Selenium, Playwright, Cypress, Karate, RestAssured, Jenkins, GitHub Copilot, and AI-powered automation strategies for continuous qualityengineering in enterprise healthcare systems. Additionally, the presentation will examine how AI agents, context-aware orchestration models, and cloud-native infrastructure are reshaping software architecture and quality engineering, enabling organizations to improve system reliability, reduce deployment risks, accelerate innovation cycles, and support secure digital transformation in regulatedhealthcare environments. This session is intended for software architects, AI/ML engineers, cloud engineers, engineering managers, automation specialists, and technology leaders interested in intelligent software delivery and next-generation enterprise architecture.