Connect private data from ONTAP with LLMs for secure and responsible RAG

Kiran Srinivasan is a Distinguished Engineer in the Product Architecture Leadership group at NetApp. Currently, his primary responsibilities include architecture and execution of the AIDE program and product. His interests lie in the intersection of AI, storage and high performance integrated systems. In addition to his contributions to current and future NetApp products, Kiran takes an active interest in computer science research and actively collaborates with academic researchers from top CS programs like Yale; University of Chicago; University of Illinois Urbana-Champaign and University of Wisconsin, Madison. He is the author of many patents and  peer-reviewed papers in top conferences.

Uday Boppana is a Principal Product Manager at NetApp, leading the strategy and delivery of data solutions for Generative AI. He brings extensive product leadership experience across the AI/ML, data services, and hybrid cloud storage segments. Previously, he has held roles in technical marketing, solutions architecture, and leadership and technical positions in engineering.

Dr. Janaki Vamaraju is a Senior Generative AI Architect at NVIDIA, where she drives the development of domain-specific generative AI systems for enterprise ISVs across diverse industry verticals—from reasoning models and multi-agent frameworks to RAG pipelines for enterprise applications. In her prior roles at Meta and Shell Global Research, she led AI4Science initiatives in the energy sector and data centers, translating advanced research into scalable, production-ready solutions and contributing to multiple peer-reviewed publications. She holds a Ph.D. in Computational Sciences and Applied Mathematics from The University of Texas at Austin and continues to shape how global enterprises design, train, and operationalize the next generation of large language models.