Andrey Kalinin
Deep Learning Software Engineer at Intel Corporation
Portland, Oregon, United States
Summary
🤩
Rockstar🎓
Top SchoolAndrey Kalinin is a Deep Learning Software Engineer with over nine years at Intel, specializing in high-performance neural network libraries (oneDNN, MKL-DNN) and a long pedigree in build/test automation and CI for cross-platform C/C++ projects. He blends low-level systems expertise—multithreaded programming, TCP/IP, Windows Crypto API—with broad language fluency (C, C++, C#, Perl, Bash) and tooling across Windows, Linux and macOS. Andrey has repeatedly moved complex numerical and diagnostic workloads into production, automating releases with ElectricFlow/ElectricCommander and scripting large-scale test infrastructures. His background in mathematical training and decades of work on performance-sensitive applications and tooling gives him a rare mix of algorithmic rigor and practical engineering. Based in Portland, he is quietly prolific on challenging backend and automation problems that sit at the intersection of ML performance and robust software delivery.
10 years of coding experience
30 years of employment as a software developer
Master’s Degree, Mathematics, Master’s Degree, Mathematics at Novosibirsk State University (NSU)
Английский, Русский
Github Skills (11)
neural-network10
sycl10
openmp10
machine-learning10
tbb10
caffe10
oneapi10
deep-learning10
cpp10
deep-neural-networks10
x86-6410
Programming languages (1)
Github contributions (4)
uxlfoundation/oneDNN
Aug 2016 - Jan 2023
oneAPI Deep Neural Network Library (oneDNN)
Contributions:116 reviews, 436 commits, 54 PRs in 6 years 6 months
neural-networkoneapionednndeep-learningdeep-neural-networks
BVLC/caffe
Aug 2016 - Sep 2016
Caffe: a fast open framework for deep learning.
Contributions:54 commits in 1 month
caffedeep-learningmachine-learningvision
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