Madhav Gupta

I am a final-year Electrical Engineering Dual Degree student at IIT Bombay with a minor in AI and Data Science. My research focuses on Explainable AI (XAI) and model robustness, which led to my first-author publication at WACV 2026 on uncertainty-aware subset selection for visual attribution. I have a strong background in engineering scalable AI systems, ranging from building multi-agent workflows with AutoGen and RAG pipelines for financial documents to implementing contrastive learning for computer vision tasks. Beyond my research and professional experience at firms like Hilti and Sentry AI , I contributed to the IIT Bombay Racing (Driverless) team, where I engineered interfaces for our participation in FS-AI 2023 at the Silverstone Circuit. I am passionate about bridging the gap between advanced ML research and production-ready applications.