CV

🎓 Education

USEReady 2024: Machine Learning Engineer
- Implemented a custom RAG chatbot with multi-query generation, keyword extraction using RAPTOR chunking, integrating with Azure, AWS, and local storage, and an interactive Streamlit interface featuring user authentication and session-based history deletion for enhanced privacy.
- Engineered a RAG incorporating human feedback by labelling responses, fine-tuning the cross-encoder, and integrating it into a Streamlit interface for enhanced user interaction.
- Applied various RAG methods such as CRAG, Self-RAG, Adaptive RAG and RAFT methods and evaluation of RAG application using Langsmith.
-Built End-to-End production ready RAG application in Databricks using Langchain and Mosaic AI Vector Search and in Snowflake using Snowflake Arctic and Snowflake Cortex Analyst.