MS, Artificial Intelligence
Rochester Institute of Technology, NY, USA (2023 - Expected December 2025)
B.Tech, Engineering Physics
Indian Institute of Technology, Roorkee, IN (2019-2023)
I'm a research-driven Machine Learning Engineer building production-ready multimodal perception systems, embedded inference pipelines, and evaluation frameworks. I've developed state-of-the-art perception stacks for autonomous driving and published research at top-tier venues including ICLR, AAAI (x2), KDD, INFORMS, and IEEE.
My recent work spans multimodal temporal modeling, portfolio optimization, and agent-based simulations funded by the Gates Foundation. I specialize in PyTorch, ROS2, NVIDIA platforms, and distributed training, with a focus on translating applied research into real-world deployment.