Rasool Sharifi

AI Performance Engineer at Modular, a Qualcomm company

Washington DC-Baltimore Area United States
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Summary

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Senior
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Top School
Rasool Sharifi is an AI Performance Engineer with 11 years of experience specializing in computer architecture, memory systems, and emerging memory technologies applied to ML and embedded multiprocessor systems. Currently at Modular after short-term performance roles at NVIDIA and d-Matrix, he bridges deep research insight from PhD studies with hands-on engineering to optimize deep learning workloads at chip and system levels. His background spans biomedical engineering intersections and hierarchy design, giving him a nuanced view of hardware-software co-design for latency- and memory-constrained applications. Based in Kent, Ohio, he combines academic rigor from multiple PhD programs with practical experience accelerating ML performance in production environments. An uncommon strength is translating exploration of novel memory technologies into concrete performance wins for multiprocessor SoCs.
code11 years of coding experience
job1 year of employment as a software developer
bookMaster of Science (M.S.) Electrical and Electronics Engineering, Master of Science (M.S.) Electrical and Electronics Engineering at University of Tehran
bookBachelor of Science (B.S.) Electrical and Electronics Engineering, Bachelor of Science (B.S.) Electrical and Electronics Engineering at Isfahan University of Technology
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of South Carolina
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Virginia
languagesEnglish, Persian
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Github Skills (7)

cufft5
linear-algebra5
cuda4
gpu4
cusolver2
curand1
cusparse1

Programming languages (2)

C++Cuda

Github contributions (5)

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logangregorym/gem5-changes

Jun 2020 - Nov 2021

Contributions:173 commits in 1 year 5 months
Contributions:62 commits, 31 pushes in 1 year 9 months
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