Deepika Reddy Odur

Modernizing Legacy Java Systems with Generative AI: A Modular Framework

Abstract:

Enterprise Java systems power many critical business operations, yet most were not designed to support the probabilistic, asynchronous, and compute-intensive demands of modern AI. As organizations adopt Generative AI, Retrieval-Augmented Generation (RAG), and agentic automation, legacy architectures can become a significant barrier to intelligent enterprise transformation.

This session presents a governance-aware modular transformation framework for integrating Generative AI into legacy Java systems without operational disruption. Rather than pursuing wholesale replacement, the framework introduces abstraction and orchestration layers between legacy platforms and modern AI infrastructure, exposing stable business capabilities as modular services connected through secure and auditable integration pathways.

Key components include RAG pipelines grounded in enterprise knowledge repositories, GraphRAG architectures combining vector retrieval with relationship-aware graph traversal, multi-agent orchestration systems coordinating planner, retriever, validator, and executor agents, and governance-aware AI gateways enforcing prompt sanitization, access control, and policy compliance.

The session will also cover a phased modernization roadmap, use-case prioritization criteria, observability strategies, and a risk-reduction model that balances automation with human-in-the-loop validation. Attendees will gain practical insights into extending the value of established Java investments while enabling intelligent search, contextual summarization, and AI-assisted decision-support capabilities.

Profile:

Deepika Reddy Odur is a Software Developer with over 9 years of experience building web and enterprise applications across banking, analytics, and enterprise systems. She specializes in Java 17, Spring Boot, microservices architecture, event-driven systems, REST APIs, and cloud-native technologies.

Her experience includes designing backend systems using Spring Boot, Spring Cloud, Spring Security, and Spring Batch, along with developing Kafka-based microservices and data solutions using MongoDB, MySQL, and Oracle. Her work has included financial data pipelines, customer analytics platforms, machine learning governance workflows, and KYC compliance solutions.

She also has hands-on experience with Docker, Kubernetes, Red Hat OpenShift, and AWS. Deepika is an Oracle Certified Associate Java SE 8 Programmer and holds a Bachelor of Engineering in Computer Science and Engineering from Anna University.

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