At Altius, I built RAG-Copilot, an AI-powered analytics assistant that translates natural-language questions into SQL-driven insights. I used Python, Streamlit, Azure OpenAI, and Databricks SQL to make enterprise analytics easier to access.
I implemented Retrieval-Augmented Generation to provide schema and metadata context to the LLM, helping it interpret queries across live enterprise data views. I also processed query results with Pandas and visualized trends using Plotly, validating output accuracy with the Data Analytics lead before deployment.
As a Software Engineer Intern at AS Services, I engineered and deployed 10+ reusable front-end components, accelerating page rendering by 20%. I tested and debugged the components for cross-browser compatibility before release.
My projects include OBS StreamPilot, which automates OBS workflows through a Streamlit interface, and Taskmate, a responsive task management app with search, filtering, and real-time UI updates. I’m a Computer Science undergraduate at Mody University of Science and Technology, where my CGPA is 9.16/10.0.
