Yehia Arafa
Staff AI Performance Architect at Qualcomm
Raleigh, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolYehia Arafa is a Staff AI Performance Architect with a PhD in Computer Engineering and a decade of experience specializing in GPU/HPC performance modeling and ML inference stack optimization. He developed and open-sourced PPT-GPU, a scalable performance prediction toolkit for GPUs published at SC'21, and now applies that research-driven rigor to Qualcomm’s AI100 inference accelerator. His background spans academia, national labs, and industry roles at Qualcomm and Intel, giving him deep cross-stack insight from device microarchitecture to software performance. Known for turning complex performance problems into practical models, he blends rigorous simulation expertise with hands-on profiling and power analysis to accelerate real-world deep learning workloads.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer and Commumications Engineering, Bachelor's degree Computer and Commumications Engineering at Alexandria UniversityHigh School Diploma Mathematics, High School Diploma Mathematics at Sidigaber language schoolDoctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at New Mexico State University
English, Arabic
Github Skills (6)
energy6
consumption5
measurement5
nvidia4
cuda3
gpu2
Programming languages (2)
Github contributions (5)
yehiaArafa/Hadoop
Mar 2017 - Oct 2017
Contributions:17 commits, 16 pushes, 1 branch in 8 months
yehiaArafa/Mini-Ninjas
Feb 2017 - Jul 2017
Contributions:6 commits, 5 pushes, 1 branch in 4 months
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