Vinil Pasupuleti, Software Developer, IBM, USA

Title of the Talk :
Artificial Intelligence Driven Quality Embedded Architecture

Abstract of Talk:
Enterprise systems are becoming increasingly complex as organizations integrate artificial intelligence, large scale data platforms and distributed digital services. Traditional enterprise architectures treat testing and quality assurance as activities performed after development, which often leads to delayed defect detection, data inconsistencies and operational risks. This keynote introduces AIQEA Architecture, Artificial Intelligence Driven Quality Embedded Architecture, a framework that embeds intelligent quality validation directly into enterprise system architecture.

The talk explores how AI driven analytics, intelligent data platforms and autonomous testing frameworks can operate together to continuously validate system behavior, data integrity and enterprise workflows. By embedding quality engineering capabilities into architectural layers rather than treating testing as a separate phase, organizations can build more reliable, scalable and trustworthy digital platforms. The session presents architectural principles and practical insights for designing future enterprise systems where artificial intelligence, data platforms and embedded validation operate together to support resilient digital ecosystems.

Bio : Vinil Pasupuleti is a Senior Software Engineering professional and enterprise systems architect with over 11 years of experience designing, integrating, and validating large-scale cloud and enterprise platforms. He currently serves as a Software Developer at IBM, contributing to enterprise data modernization and cloud-based system transformation initiatives. Previously at Red Hat, he led quality and engineering strategy across global enterprise programs spanning HR, payroll, finance, CRM, and large-scale data ecosystems operating across 30+ countries.

His expertise includes enterprise architecture, system integration, data engineering, AI-assisted validation frameworks, and production-grade reliability. He is a Senior Member of IEEE, a Fellow of SCRS, and a member of ACM. Vinil also serves as a peer reviewer and Technical Program Committee (TPC) member for international conferences and journals in intelligent systems and computational networks, contributing to research in AI-native enterprise architectures and next-generation intelligent systems.