Tanmay Tarwatkar

Lead GenAl solutions for data in business, legal, medical, etc. Conducted research, implemented a GenAl solution for natural language queries over structured data, and then used Langchain and Azure OpenAl to build visualizations on top of those. Used GenAl to implement an internal data retrieval solution. Used llama-index and AWS OpenSearch to investigate different vector retrieval for RAG systems on behalf of the customer. Multiple index retrievals as well as retrieval based on knowledge graphs were implemented. Developed a GenAl (Chatbot and Wizard System) solution for a project proposal building system. Achieved a finalist position in the Persistent GenAl Hackathon by creating a recommendation Chatbot for the Insurance domain. Developed a RAG based Agentic Copilot on structured and unstructured data. Implemented various document loaders, chunking strategies, vectorstores, indexing, embedding models, retrieval techniques, evaluation frameworks, etc. for better response from the system. Also better communication with the client for understanding their requirements and suggesting solutions, improvements to data pipeline, etc. were achieved.