Lorri Rao

AI Performance Engineer (MTS) at AMD

San Jose, California, United States
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Summary

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Senior
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Top School
Lorri 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.
code9 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at University of Southern California
bookBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Huazhong University of Science and Technology
languagesChinese, English
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Github Skills (196)

animated10
ant-design-vue10
computer-science10
electron10
typescript10
mpi10
ranking10
react10
editor9
capstone9
sparse-matrix9
science9
gnn9
vala9
proxy9

Programming languages (18)

C#JavaC++CSSCMakefileScalaVala

Github contributions (5)

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Z-Y00/libs

Dec 2018 - Jan 2023

Contributions:19 pushes, 1 branch in 4 years 2 months
heptagonhust/about

Jan 2020 - Mar 2021

华科七边形,欢迎各位朋友的指导与交流。
Contributions:19 commits, 1 PR, 88 pushes in 1 year 2 months
cssjavascriptvueaschpc
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