Nishant Sonani

Ai Engineer @Nse India

Mumbai, IN

At NSE, I’m developing an advanced Retrieval Augmented Generation (RAG) system to enhance the accessibility and reliability of financial data. The project focuses on building end-to-end AI pipelines that integrate cutting-edge LLM technologies with robust data engineering practices.Key Contributions:Built RAG pipelines using LangChain for document parsing, retrieval, and contextual response generation.Deployed and optimized LLM models locally for cost-effective inference and experimentation.Integrated Qdrant vector database for high-performance semantic search and efficient vector storage.Implemented data validation workflows ensuring accuracy, consistency, and compliance with financial datasets.Used RAGAS (RAG Assessment) for performance evaluation, measuring retrieval quality and response correctness.

Yashwantrao Chavan Maharashtra Open University

BCA