Utkarsh Saxena
Member Of Technical Staff at AMD
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolUtkarsh Saxena is a Member of Technical Staff at AMD with nine years of experience in efficient ML model design and hardware-aware optimization, currently contributing to AMD’s Efficient GenAI team. He completed a PhD in Electrical and Electronics Engineering at Purdue, where his research focused on quantization, sparsity, and low-rank decomposition to make ML models more efficient for hardware deployment. His background includes internships at d-Matrix and Texas Instruments working on low-precision quantization for large language models and recurrent networks, as well as earlier device- and RF-focused research at IIT Bombay and IISER Kolkata. Combining deep academic research with practical system-level experience, he specializes in bridging algorithmic model compression and accelerator-friendly implementations. Notably, his trajectory shows a consistent emphasis on squeezing more performance out of constrained hardware—an asset for teams shipping production-scale GenAI.
9 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Purdue University
Github Skills (87)
realtime10
online-store10
cjs10
component-library10
firebase10
auth10
figma-plugin10
database10
design-tokens10
shopify10
typescript10
vscode-extension10
firestore10
react-modal10
react10
Programming languages (3)
Github contributions (5)
utkarshsaxena93/dotfiles
Dec 2021 - Aug 2024
Contributions:1 push, 1 branch in 2 years 9 months
utkarshsaxena93/shopify-bookshelf
Sep 2016 - Jan 2018
Contributions:2 PRs, 33 pushes, 3 branches in 1 year 4 months
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