Sameep Sawant

1.Developed a RAG (Retrieval-Augmented Generation) system using LangChain to extract data from trained documents. 2. Designed custom tools to train various file types, including PDF, Word, PPT, and text, as well as audio formats like MP3, MP4, and YouTube links. 3. Built agents to translate natural language queries into SQL commands and retrieve data from databases. 4. Created a multi-agent system for an internal project leveraging LangChain and LangGraph for tracking purposes. 5. Implemented an agent to convert textual data into graph points, enabling graph creation and visualization on the front end. 7. After deploying the application on Azure, I encountered a migration mismatch issue, which I resolved by ensuring synchronization between all models and the created migrations. 8. I devised a solution to train unstructured data for generating answers to questions posed within the trained dataset. 9. I implemented JWT authentication into the entire backend system to enhance the s