Rahul Nayar

Rahul Nayar is a highly skilled engineer with extensive experience in the fields of GPU architecture and performance optimization. Currently serving as a Software Engineer at Google, Rahul Nayar is focused on developing open-source performance profiling tools that enhance developer productivity for AI workloads. Previously, at Samsung Research America, Rahul Nayar led the development of functional blocks for Samsung's GPU and proposed enhancements for memory management strategies. Experiences at NVIDIA included roles as an intern and ASIC Engineer, where responsibilities encompassed testbench setup, workload validation, and GPU architecture verification. Earlier roles involved a business analyst position at Tata Consultancy Services, where data-driven methodologies were applied, as well as internships at Bhabha Atomic Research Centre and a teaching role at the University of Wisconsin-Madison. Rahul Nayar's diverse background in engineering, teaching, and business analysis showcases a robust blend of technical and instructional competencies.