About the speaker
Experience behind the talk
Pranav Puranik is an AI Engineer with 5 years of industry experience across companies including Amazon, Blue Cross Blue Shield, and Arm.
He specializes in building large-scale AI systems, particularly Retrieval-Augmented Generation pipelines for document intelligence and healthcare applications. His work includes designing production-grade LLM systems that process high-volume data, improve model reliability, and reduce operational costs.
Outside of his professional work, Pranav actively contributes to open source and research collaborations. He was a top contributor to Mem0, a AI agent memory project that gained significant traction in the developer community and raised $24M in funding.
He has also been recognized with a National Interest Waiver (NIW) by USCIS for his contributions to AI engineering open source and applied research.
Through this session, he aims to share practical insights, real-world architectures, and interview-relevant knowledge to help others build and scale effective RAG systems.