Summary
Prachi Garg is a doctoral student in computer science at UIUC with eight years of research and engineering experience at the intersection of computer vision, robotics, and perception for autonomous systems. Her work spans continual and lifelong learning, out-of-distribution generalization, and long-tailed video classification—skills honed through internships at Waymo and IBM and research roles at CMU, IIIT-H, and European labs. She brings practical systems experience (camera–LiDAR 3D perception pipelines, YOLO real-time object recognition on Jetson) alongside theoretical inquiry into generalization and memorization in deep networks. Prachi combines a Robotics M.S. from CMU with hands-on avionics and field deployments, reflecting a rare mix of algorithmic depth and real-world integration. She is particularly drawn to AI problems with social impact, such as safe autonomous perception and accessible content moderation.
7 years of coding experience
3 years of employment as a software developer
Delhi Public School - R. K. Puram
Masters, Robotics, Masters, Robotics at Carnegie Mellon University
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Delhi Technological University