At Lauren Information & Technologies, I fine-tune large language models and integrate foundation models through APIs such as OpenAI, Claude, and AWS Bedrock to enhance domain-specific reasoning.
On my GeM Bidding project, I developed an Agentic RAG system that processes over 470,000 GeM PDF documents, using AWS Bedrock, Lambda, LangGraph, and Django. I also built an AI medical chatbot with LLaMA2, LangChain, and FAISS, and developed EduNote, which achieved 88.83% classification accuracy on 20 Indian monuments.
