Summary
Neel Dani is a software engineer with eight years of experience focused on the intersection of machine learning and systems—especially ML compilers, kernel programming, and hardware/software co-design for inference and training. He has moved between research and production roles at top-tier organizations, contributing to ML systems at UIUC, maintaining npm at GitHub, accelerating sovereign cloud infrastructure at Microsoft, and optimizing model performance for Waymo. His background spans ML research, distributed systems teaching, and low-level systems engineering, giving him a rare ability to translate academic ideas into production-ready infrastructure. Neel’s hands-on experience includes building below-ARM control planes and improving package manager reliability, signaling both security-minded and performance-oriented engineering. Based in the San Francisco Bay Area, he combines a CS master’s from UIUC with practical experience across cloud, autonomous systems, and developer tooling.
8 years of coding experience
5 years of employment as a software developer
ICSE, ICSE at Jamnabai Narsee School
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Manipal Institute of Technology
Master's degree, Computer Science, Master's degree, Computer Science at University of Illinois Urbana-Champaign
English