Noida, Uttar Pradesh, India
Summary
Currently developing advanced Retrieval-Augmented Generation (RAG) pipelines and LLM-powered solutions to enhance enterprise search and document processing.
Highlights
Engineered robust Retrieval-Augmented Generation (RAG) pipelines for enterprise search, document processing, and LLM-powered automation.
Integrated fast vector databases with scalable Redis to enable hybrid search and low-latency generative responses.
Deployed modular APIs using FastAPI and constructed dynamic LLM chains with LangChain for tool calling and prompt management.
Developed components for processing unstructured data, utilizing embedding models, metadata filters, and custom retrieval mechanisms.