At AI2Z Labs, I contribute to an AI-driven drug development platform for a US-based healthcare startup. I develop and train Python and Scikit-learn models, and work on an HCP prediction module that analyzes how drug characteristics can affect a medication’s potential reach and applicability.
I also integrate Generative AI and LLM capabilities into product workflows, contributing across backend, frontend, and AI layers. My work includes AI-assisted development tools such as Lovable, ChatGPT, and Claude.
At Zensar Technologies, I designed and optimized SQL and Python ETL processes for transactional records and developed Power BI dashboards for KPI tracking and drill-down analysis. The dashboards reduced report time from three days to one day.
In my projects, I developed QueryPilot, which turns natural-language questions into SQL, and DocuMind, a RAG application for querying uploaded documents. I used FastAPI, React.js, LangChain, OpenAI, and FAISS to support query processing, document retrieval, and contextual responses.
