Evgeny Pavlov
Head Of Machine Learning at Brand Analytics
Russia
Summary
👤
Senior🎓
Top SchoolEvgeny Pavlov is a Head of Machine Learning with a PhD in Computer Science and over 12 years of experience leading research-to-product engineering at companies like Samsung, Sberbank, and Brand Analytics. He blends technical leadership of 15+ engineer teams with deep hands-on expertise in AI assistants (GPT, LLaMA), LLVM/Clang compiler work, and on-device NPU compilers. His background includes shipping commercial R&D from Samsung TV features to 5G vRAN software and developing ML-on-code tools and runtime prototypes that attracted funding and productization. A prolific contributor to multimedia and system open-source projects (FFmpeg, GStreamer, VLC, OBS, .NET Core), he often bridges low-level performance engineering with applied AI. Notably, he has implemented AMD GPU video processing features upstream and built early on-device AI toolchains, demonstrating rare full-stack mastery from hardware-accelerated media pipelines to large language model tooling. Based in Russia, he combines academic rigor with pragmatic delivery of complex system software and ML products.
12 years of coding experience
14 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Moscow State Institute of Radio Engineering, Electronics and Automation (Technical University) master Computer Science, master Computer Science at Bashkir State University
English, Russian
Github Skills (52)
studio10
optimization10
obs-studio10
libvlc10
live-streaming10
lgpl10
garbage-collector10
primitive10
broadcasting10
low-level10
coreclr10
xamarin10
cil10
linux10
dotnet10
Programming languages (3)
Github contributions (5)
lucenticus/coreclr
Apr 2016 - Mar 2017
Contributions:104 pushes, 82 branches in 11 months
dotnetjitruntimedata-typescompiler
lucenticus/FFmpeg
Mar 2023 - Feb 2024
Contributions:41 pushes, 16 branches in 11 months
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