Arash Pakbin
PyTorch Performance Engineer (MTS) at AMD
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolArash Pakbin is a systems-focused performance engineer with 8 years of experience who now optimizes PyTorch for AMD GPUs as a Performance Engineer (MTS) in the San Francisco Bay Area. Trained originally as an electrical engineer and holding advanced computer science degrees from Texas A&M, he specializes in CUDA/HIP kernel tuning, building PyTorch extensions, and integrating ML backends like MIOpen and hipBLASLt for large-scale workloads. His background includes practical speedups of I/O-bound Python pipelines at Tesla and early research in digital image forensics, reflecting a blend of low-level systems skills and applied ML tooling. An active contributor to the PyTorch ecosystem at AMD, he brings both academic rigor and hands-on production experience to squeezing performance from modern accelerators.
8 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Texas A&M UniversityBachelor of Science (B.Sc.), Electrical and Electronics Engineering, cumulative GPA: 3.88/4, Bachelor of Science (B.Sc.), Electrical and Electronics Engineering, cumulative GPA: 3.88/4 at University of TehranDiploma, Mathematics and Physics, Diploma, Mathematics and Physics at National Organization for Development of Exceptional Talents (Sampad)
English, Persian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (31)
python10
acceleration10
machine-learning10
numpy10
deep-learning10
tensorflow10
gpu10
autograd10
neural-network10
tensor10
gpu-acceleration10
agile10
agile-development9
prediction9
ruby-on-rails8
Programming languages (3)
Github contributions (5)
apakbin/ICU72hReadmissionMIMICIII
Feb 2018 - May 2021
Prediction of ICU Readmissions Using Data at Patient Discharge using MIMICIII Database
Contributions:27 commits, 4 PRs, 23 pushes in 3 years 3 months
pythonpredictiondischargepatientdatabase
BoXHED/BoXHED2.0
Aug 2023 - Sep 2024
Contributions:1 release, 21 pushes, 1 tag in 1 year 1 month
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