01IntroductionAboutAbout
I'm an AI undergraduate (B.Tech, 2023–2027) and AI/ML researcher interested in a simple question: how do we build intelligent systems that work reliably in the real world, not just on a dataset?I'm an AI undergraduate (B.Tech, 2023–2027) and AI/ML researcher interested in a simple question: how do we build intelligent systems that work reliably in the real world, not just on a dataset?
My current research explores deep learning for energy and physical systems, where models need to respect the underlying laws of the system rather than simply fit patterns in data. I'm the second of five authors on a physics-informed load forecasting paper presented at IEEE APPEEC 2026 in Singapore, as part of my ongoing work on power-grid forecasting and optimization.My current research explores deep learning for energy and physical systems, where models need to respect the underlying laws of the system rather than simply fit patterns in data. I'm the second of five authors on a physics-informed load forecasting paper presented at IEEE APPEEC 2026 in Singapore, as part of my ongoing work on power-grid forecasting and optimization.
Beyond ML research, I enjoy understanding how systems are built from the ground up — from backend engineering and APIs to high-level design, system architecture, scalability, and reliability. I'm also deepening my foundations in NLP and computer vision, while competitive programming keeps my algorithmic and mathematical thinking sharp.Beyond ML research, I enjoy understanding how systems are built from the ground up — from backend engineering and APIs to high-level design, system architecture, scalability, and reliability. I'm also deepening my foundations in NLP and computer vision, while competitive programming keeps my algorithmic and mathematical thinking sharp.
Long term, I'm interested in graduate research at the intersection of machine learning, physical systems, and infrastructure, while continuing to build scalable software along the way. Always happy to connect over research ideas, interesting systems, or opportunities to build something meaningful.Long term, I'm interested in graduate research at the intersection of machine learning, physical systems, and infrastructure, while continuing to build scalable software along the way. Always happy to connect over research ideas, interesting systems, or opportunities to build something meaningful.
