Bio
Sean Singh Sodha is a deep learning Senior Product Manager at NVIDIA, responsible for the Nemotron Retriever portfolio of embedding, reranking, and extraction models powering agentic retrieval and memory systems. Before joining NVIDIA, Sean ran his own Generative AI venture and was formerly at IBM Watson. He holds an MBA from the Wharton School of Business, M.S. in engineering from Cornell University, and B.Sc. in Electrical Engineering from Purdue University.
Session (1)
Additional Speaker Details
Using publicly available information we constructed an analysis to help you get a feel for this speaker before deciding to attend their session.
Sean Sodha is a senior product manager at NVIDIA for NeMo Retriever, focused on enterprise multimodal document extraction and RAG pipelines built on NIM microservices. His recent technical writing covers production-grade multimodal retrieval — chunking strategy, table-to-markdown formatting, embedding/reranking pipeline design, and fine-tuning domain-specific embedding models — giving attendees a practitioner's view grounded in real pipeline architecture and optimization decisions.
Speaking style
GitHub
@ssodha-nvRecent writing (2)
- Build a Domain-Specific Embedding Model in Under a Day · blog · Mar 2026
- How to Build a Document Processing Pipeline for RAG with Nemotron · blog · Feb 2026