Alexey Taymanov

Principal Software Engineer at Microsoft

New York, New York, United States
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Summary

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Alexey Taymanov is a Principal Software Engineer based in New York with seven years of professional experience and a deep academic background in computational mathematics from MSU. Currently at Microsoft since 2015, he has progressed from hands-on engineering on Answer and Widget Experiences to senior and principal roles, shaping large-scale product and ML-driven features. He brings a pragmatic systems perspective from earlier work at Yandex, Acronis, and ABBYY, with strong C/C++ and Python foundations applied to content systems, backup software, and OCR. An active contributor to the Vowpal Wabbit project, Alexey implemented Python reinforcement learning examples and integrated rlclientlib, demonstrating applied ML and cross-language interoperability skills. Colleagues rely on him to bridge algorithmic thinking and production-grade engineering, translating research-grade methods into usable developer examples and services.
code7 years of coding experience
job9 years of employment as a software developer
bookLomonosov Moscow State University
languagesEnglish, Japanese, Russian
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Stackoverflow

Stats
56reputation
1kreached
5answers
0questions
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Github Skills (13)

machine-learning10
python10
reinforcement-learning10
cprogramming-language9
c-language9
elearning7
active-learning7
bandit7
vowpal-wabbit6
multi-agent-reinforcement-learning6
convergence6
optimization6
data-science6

Programming languages (7)

C#C++RustJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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VowpalWabbit/vowpal_wabbit

Jul 2018 - Jan 2023

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Role in this project:
userML Engineer
Contributions:172 reviews, 65 commits, 105 PRs in 4 years 6 months
Contributions summary:Alexey implemented several Python examples within the Vowpal Wabbit repository to demonstrate reinforcement learning (RL) concepts. They introduced new Python files, mirroring the functionality of existing C++ examples, demonstrating an understanding of the RL library. The user's contributions involve RL client library (rlclientlib) integration.
hashingtechniquescpppythonactive-learning
ataymano/mwt-ds

Jul 2018 - Jan 2021

Umbrella repository for projects related to the MWT Decision Service
Contributions:74 pushes, 18 branches in 2 years 6 months
umbrelladecision-serviceblockchaindecision
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Alexey Taymanov - Principal Software Engineer at Microsoft