Vladimir Starostenkov

Solutions Architect at Toptal

Seattle, Washington, United States
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Summary

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Vladimir Starostenkov is a Solutions Architect based in Seattle with 13 years of experience designing and operationalizing ML systems across enterprise and R&D settings. He combines deep embedded and firmware roots with a modern focus on MLOps, cloud data engineering and production ML—backed by certifications from Databricks, AWS ML Specialty and Google Cloud Data Engineer. At EPAM and Toptal he translates complex data science prototypes into robust, scalable pipelines and deployment patterns, drawing on earlier roles building big data platforms and permissioned blockchain proofs-of-concept. Comfortable across C/C++ firmware, Hadoop/TensorFlow stacks and cloud-native ML tooling, he uniquely bridges low-level performance optimization and high-level ML architecture. Colleagues rely on him for pragmatic architectures that prioritize reproducibility and operational resilience, a skill honed from shipping both embedded devices and distributed ML products.
code13 years of coding experience
job11 years of employment as a software developer
bookControl in Engineering and Organization Systems, Control in Engineering and Organization Systems at Institute for Control Sciences RAS
bookBSc, Applied Mathematics and Physics, BSc, Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
languagesEnglish, Russian
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Github Skills (32)

six8
extraction8
tensorflow-addons7
pdf-files7
data-extraction7
pdfminer6
pdf6
parser6
python6
mupdf5
pdf-parser5
deep-learning5
machine-learning5
insurance4
neural-network4

Programming languages (1)

Python

Github contributions (5)

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olegabu/catbond

Aug 2016 - Aug 2016

Contributions:21 commits, 17 pushes in 3 days
ethereumblockchaintradingbondcryptocurrency
VladimirStarostenkov/netting

Aug 2016 - Sep 2016

Contributions:7 pushes, 1 branch in 27 days
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Vladimir Starostenkov - Solutions Architect at Toptal