Lorri Rao
AI Performance Engineer (MTS) at AMD
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolLorri Rao is an AI Performance Engineer (MTS) at AMD with a PhD in Computer Engineering from USC and nine years of industry and research experience focused on hardware-accelerated machine learning. She brings deep expertise in ML accelerator microarchitecture, systolic arrays, GEMM dataflows, and sparse computation from her doctoral research and teaching roles updating USC’s hardware curriculum. At USC she combined research and pedagogy—designing course content on ML coprocessors and graph-ML interfaces—demonstrating an ability to translate cutting-edge research into practical learning modules. Now based in San Jose, she applies that research-driven mindset to optimize AI model performance on real products, bridging academic rigor with semiconductor-scale deployment. Her background as a teaching assistant and student volunteer also gives her strong communication and mentorship skills that help cross-functional teams adopt complex hardware-aware ML optimizations.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at University of Southern CaliforniaBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Huazhong University of Science and Technology
Chinese, English
Github Skills (200)
sympy10
wallpaper10
computer-science10
editor10
sketchup10
science10
executable10
electron10
typescript10
vscode-extension10
vscode10
microsoft10
reply10
mpi10
p5js10
Programming languages (16)
Github contributions (5)
Z-Y00/libs
Dec 2018 - Jan 2023
Contributions:19 pushes, 1 branch in 4 years 2 months
Z-Y00/academic
Nov 2021 - Oct 2024
A beautiful, simple, clean, and responsive Jekyll theme for academics
Contributions:104 pushes, 6 branches in 2 years 10 months
responsive-jekyll-themeacademicscleanjekylljekyll-theme
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