School of Engineering
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Suresh Nambi
Course Asst-Graduate, Electrical Engineering - Student Services
BioI am an AI/ML Compute Architect specializing in cross-stack optimization for LLMs and deep learning systems. Currently I am focused on datacenter-scale performance from application analysis to hardware design :
- Full-stack workload analysis and optimization from model architecture to writing hardware kernels
- Multi-Node Performance Simulation, Roofline modeling and architecture-specific optimizations
- Achieve efficiency at scale by delivering improvements in training/inference through novel microarchitectures
I am a master’s student pursuing MS EE (Software and Hardware Systems) at Stanford University. Before starting my MS, I worked at Nvidia as an ASIC Design Engineer in the GPU Hardware Security team, where I contributed to the development of computer chips used in datacenters. Prior to that I worked at Ceremorphic a stealth startup on their first energy-efficient AI supercomputing test chip and gained insight into their heterogenous computing model.
I completed my undergraduate studies at BITS Pilani, India. During this period, I was associated with Prof. Akash Kumar at the Chair for Processor Design, TU Dresden for my year-long undergraduate thesis. I also had the opportunity to work under Prof. Gerd Grau during my MITACS Globalink Summer Internship. -
Reza Nasiri Mahalati
Adjunct Professor, Electrical Engineering
BioReza Nasiri Mahalati is an Adjunct Professor in the department of Electrical Engineering at Stanford University and a senior hardware design engineer at Apple Inc. His current work focuses on the development of new hardware technologies that enable more fluid human computer interactions. He received the B.S. degree in Electrical Engineering from the Sharif University of Technology, Tehran, Iran in 2008, and the M.S. and Ph.D. degrees in Electrical Engineering from Stanford University in 2010 and 2013, respectively. While at Stanford, his research focused on mode-division multiplexing in multi-mode optical fibers, fiber-based imaging, optimization and digital signal processing.
