Summary
Saurav Muralidharan is a Senior Research Scientist at NVIDIA with 12 years of experience advancing performance and efficiency for large language models (LLMs). Based in the San Francisco Bay Area, he blends deep academic training—a Ph.D. in Computer Science from the University of Utah—with long-standing industry R&D at NVIDIA since 2013, including multiple internships that matured into a permanent research role in 2016. His work focuses on making LLMs faster, smaller, and more practical for deployment, drawing on expertise across model optimization, systems, and GPU-accelerated research. He has a record of moving ideas from lab to production at scale, leveraging both theoretical insights and systems-level engineering. Colleagues know him for tackling hard trade-offs between model quality and resource constraints, and for bringing academic rigor to real-world ML performance problems.
11 years of coding experience
6 years of employment as a software developer
The University of Utah
B.Tech. with Honors, Computer Science, B.Tech. with Honors, Computer Science at Kannur University
English, Hindi, Malayalam, Kannada