Research Project | Team Lead

Developed a hybrid AI-powered medical query system that combines a SQL Agent for structured patient records and a RAG pipeline for unstructured medical literature.

Key highlights:

Implemented a Query Router using intent classification to dynamically route natural language queries to the correct retrieval module.
Engineered a full-stack modular architecture with ReactJS frontend and Django REST Framework backend API.
Leveraged LLMs to translate natural language into executable SQL and synthesize data-driven medical insights.
Designed a secure framework for permission-based data access and restricted medical record handling.

Smart Medical Assistant (RAG + SQL Agent)

Full-Stack Blog Application

TrackNBook - Real-Time Logistics & Scheduling

Personal Portfolio