Saman Biookaghazadeh
Research Engineer at Google DeepMind
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolSaman Biookaghazadeh is a research engineer at Google DeepMind with 11 years of experience designing high-performance distributed systems for AI at scale. He helped build Google Cloud’s first A3+ H100 GPU cluster and authored RDMA enhancements for NCCL to enable GPU-to-GPU communication across thousands of accelerators. Saman also developed a Google-specific GPUDirect pipeline for direct storage-to-GPU data loading now used by DeepMind and led a storage optimization project whose weighted-chunk allocation algorithm saved Google millions by balancing I/O across heterogeneous drives. With a Ph.D. in High Performance Computing, his research focuses on scheduling across CPUs, GPUs, and FPGAs to squeeze more throughput from heterogeneous clusters. He has driven both product-grade system integrations and low-level infrastructure innovations, and has hands-on experience compressing and optimizing models for edge ARM devices. Based in New York, he blends deep academic rigor with production engineering that directly accelerates large-scale AI training.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Systems, Doctor of Philosophy (PhD) Computer Systems at Arizona State UniversityBs computer engineering, Bs computer engineering at University of TehranDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Florida International University
English, Persian
Github Skills (26)
python10
machine-learning10
deep-learning10
tensorflow10
data-science9
ml9
deep-neural-networks9
neural-network9
fpga-accelerator7
xilinx7
fpga5
convolutional-neural-networks5
opencl4
gpu3
compression3
Programming languages (6)
Github contributions (5)
saman-aghazadeh/loopy
Apr 2017 - Jul 2021
Contributions:221 commits, 230 pushes, 7 branches in 4 years 4 months
saman-aghazadeh/panoply
Dec 2015 - Mar 2016
Contributions:127 pushes, 1 branch in 2 months
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