Sergey Serebryakov
Research Engineer at Hewlett Packard Enterprise
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolSergey Serebryakov is a research engineer with a PhD in multi-agent systems and over a decade of experience building distributed AI, NLP, and peer-to-peer systems. Based in Palo Alto, he has applied his expertise at HP Labs and Hewlett Packard Enterprise on reproducible ML tooling (MLCube), deep learning cookbooks, large-memory DL, and large-scale time series and NLP pipelines. His work spans practical production components—UIMA pipelines, event and problem extraction from text, and cross-platform P2P/agent platforms—as well as research prototypes for distributed sensing and simulation. Comfortable across Java, C++, Python and containerized deployments, he blends deep academic grounding with hands-on engineering to move complex language and multiagent research into deployable systems. An interesting thread through his career is building systems that let the same agent logic run in both simulation and real-world distributed deployments, showing a consistent focus on reproducibility and portability.
10 years of coding experience
11 years of employment as a software developer
Master's degree, System Analysis and Control, Master's degree, System Analysis and Control at Санкт-Петербургский Государственный Политехнический УниверситетDoctor of Philosophy (PhD), Multi-agent systems, Doctor of Philosophy (PhD), Multi-agent systems at Saint-Petersburg Institute for Informatics and Automation of Russian Academy of Sciences
English, Russian
Github Skills (99)
benchmark10
python10
mxnet10
deep-learning10
cudnn10
optimization10
portable10
caffe10
ml10
neural-network10
data-science10
tensorrt10
benchmarking10
mlp10
tensorflow10
Programming languages (7)
Github contributions (5)
sergey-serebryakov/eigen-blis
Sep 2016 - Sep 2016
Contributions:41 commits, 38 pushes, 1 branch in 1 day
sergey-serebryakov/X-TIME
Apr 2023 - Mar 2025
Contributions:9 releases, 111 pushes, 185 branches in 1 year 11 months
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