Maxim Milakov

Senior DevTech Engineer at NVIDIA

Moscow, Moscow City, Russia
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Summary

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Senior
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Top School
Maxim Milakov is a Senior DevTech Engineer at NVIDIA with 13 years of experience specializing in machine learning and high-performance GPU computing. He drives GPU adoption by optimizing CUDA and OpenACC applications, collaborates with architecture and software teams to shape next-generation accelerators, and educates developers on parallel computing best practices. His background includes building neural-network solutions and leading data-processing system architecture at CNET Channel, giving him deep domain experience from low-level performance tuning to applied ML systems. Based in Moscow and trained at MSU, he blends research-oriented insight with production-focused engineering, often translating architectural decisions into measurable performance gains. An understated strength is his long-running role as a bridge between developers and hardware architects, influencing design through real-world application feedback.
code13 years of coding experience
job14 years of employment as a software developer
bookLomonosov Moscow State University
languagesRussian, English
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Stats
221reputation
11kreached
5answers
0questions
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Github Skills (23)

convolutional-neural-networks10
lossless-compression10
gpu10
cuda10
zigbee10
cpp10
integer-division9
benchmark8
home-assistant8
compile-time8
mqtt7
machine-learning7
future6
docker6
bash6

Programming languages (5)

TypeScriptC++JavaScriptCudaPython

Github contributions (5)

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milakov/nnForge

Jan 2013 - Dec 2018

Convolutional neural networks C++ framework with CPU and GPU (CUDA) backends
Contributions:9 releases, 477 commits, 3 PRs in 5 years 11 months
convolutional-neural-networkscppcudagpu
milakov/int_fastdiv

Sep 2014 - Nov 2015

Fast integer division with divisor not known at compile time. To be used primarily in CUDA kernels.
Contributions:16 commits, 5 pushes in 1 year 1 month
compile-timecudainteger-division
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