Title of talk: AI-Driven Automation for Resilient Healthcare IT

Abstract: 

Healthcare organizations operate highly complex digital ecosystems where the reliability of clinical, administrative, and financial systems is critical to patient safety, operational continuity, and regulatory compliance. As healthcare IT environments scale through EHR modernization, telemedicine, and data-driven care models, traditional manual validation approaches often requiring thousands of labor hours annually are no longer sufficient to ensure system integrity.

This session presents SupportPlus, an AI-enabled, event-driven automation framework designed to transform validation from a reactive, manual process into a proactive, intelligent capability. The framework integrates microservices, serverless computing, and container orchestration on Azure Kubernetes Service to enable continuous, metadata-driven validation across large-scale, interconnected healthcare platforms.

By leveraging high-throughput event ingestion, parallel validation pipelines, and AI-assisted anomaly detection, the system can process millions of events per second while identifying and resolving issues in real time. Intelligent automation enables self-healing mechanisms, predictive failure detection, and automated remediation, significantly reducing incident response times and operational overhead.

Enterprise-scale implementations demonstrate measurable outcomes, including substantial reductions in manual validation effort, faster incident resolution, improved system availability, and continuous compliance readiness. The framework also strengthens cybersecurity posture by aligning with modern threat detection and response practices, helping organizations mitigate risks associated with vulnerabilities and delayed containment.

By unifying validation, monitoring, compliance, and AI-driven decision-making into a closed-loop system, this approach provides a scalable blueprint for resilient, adaptive healthcare IT operations. Its principles extend beyond healthcare, offering cross-industry relevance for organizations navigating complex integrations and stringent regulatory environments in an increasingly digital world.

Profile: 

I am a seasoned software and cloud engineering professional specializing in building resilient, scalable, and cloud-native solutions across enterprise environments. I bring deep expertise in distributed systems, backend engineering, and platform modernization, with strong hands-on experience in Java, Spring Boot, Python, microservices, and container orchestration.

As a Principal Software Engineer at Dell Technologies, I work on advanced telemetry, streaming, and automation platforms, developing Kafka-based pipelines for real-time observability and large-scale validation systems. Previously, at TP-Link, I led backend engineering for connected device ecosystems, enabling real-time communication and secure cloud integrations.

I also played a key role in modernizing healthcare systems for Kaiser Permanente through TCS, driving cloud migrations, microservices adoption, and performance optimization across mission-critical applications. Throughout my career, I have focused on improving system reliability, scalability, and operational efficiency through innovative engineering solutions.