Sreenivasulu Gajula is a Principal Full-Stack Engineer and technology leader with extensive experience in enterprise software architecture, cloud computing, AI/ML engineering, cybersecurity, and digital transformation. He has worked on large-scale modernization initiatives across the financial technology and banking sectors, focusing on secure, scalable, and cloud-native digital platforms. His professional 15+ years of expertise includes Java/J2EE, Spring Boot microservices, REST APIs, Angular, AWS, Azure, API-first architecture, enterprise integration, and secure cloud modernization. He migrates to the transformation of legacy financial systems into modern digital ecosystems by improving scalability, security, automation, and operational efficiency.Gajula is also an active researcher, author, reviewer, and invited speaker in the areas of artificial intelligence, cloud computing, cybersecurity, digital banking, fintech modernization, and intelligent software architecture. His work focuses on bridging practical enterprise engineering with emerging technologies such as AI/ML, zero-trust security, cloud-native platforms, and intelligent automation.

AI-Driven Cloud Modernization for Secure, Scalable, and Intelligent Banking Platforms    Abstract:Cloud modernization is transforming how enterprises design, secure, and scale mission-critical digital platforms. As organizations move from legacy systems to cloud-native architectures, artificial intelligence and machine learning are playing an increasingly important role in improving automation, resilience, cybersecurity, and operational efficiency. This presentation explores how AI-driven cloud modernization can support secure and scalable digital transformation across enterprise environments. The talk will highlight practical approaches for migrating legacy applications to microservices-based cloud platforms, strengthening cybersecurity through intelligent monitoring and zero-trust principles, improving software architecture through automation, and enabling faster, more reliable digital services. It will also discuss how AI/ML engineering, cloud computing, and modern software architecture can work together to build resilient platforms for the future of enterprise technology.