Aleksandr Sapronov
Owner at PythonDigest.ru & pynsk.ru
Moscow, Moscow City, Russia
Summary
👤
Senior🎓
Top SchoolAleksandr Sapronov is a technology executive and founder with more than a decade of leadership across product, engineering, and operations, currently guiding Incidenta as Owner. He blends hands-on software development with strategic oversight, having built complex business process automation and reliability-focused systems, including software for testing satellite systems early in his career. At Welltory, he served as CTO and VP of Engineering, introducing SCRUM, QA automation, CI, and system monitoring, and he led GenAI initiatives to improve reliability at MTS. An active open-source contributor and community leader, he expanded Russian locale support in parsedatetime and contributed to AutoML tooling in auto-sklearn, while founding PythonDigest.ru and pynsk.ru. Based in Moscow with 13+ years of experience across startups and scale-ups (Avito, Welltory, MTS, Cyngn), he consistently ships robust, data-driven software and builds high-performance teams. He holds a Physics degree from NSU, grounding his analytical approach to technology strategy and product execution.
14 years of coding experience
11 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at Новосибирский Государственный Университет (НГУ) / Novosibirsk State University (NSU)
Русский, Английский
Stackoverflow
1reputation
0reached
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Github Skills (15)
scikit-learn10
machine-learning10
internationalization10
localization10
ensembles10
automated-machine-learning10
automl10
python10
scikit10
yaml9
hyperparameter-optimization9
bayesian8
unit-testing8
optimization8
optimisation8
Programming languages (7)
Github contributions (5)
bear/parsedatetime
Sep 2015 - Oct 2015
Parse human-readable date/time strings
Role in this project:
Localization / Internationalization Specialist
Localization / Internationalization SpecialistContributions:12 commits, 2 PRs, 3 pushes in 22 days
Contributions summary:Aleksandr primarily contributed to adding and improving the Russian locale support for the `parsedatetime` library. Their work involved creating a new locale file (`ru_RU.yaml`) and implementing the necessary components for parsing human-readable date and time strings in Russian. The user implemented the relevant language-specific constants, date formats, and testing for the correct functionality. Further enhancements included fixing encoding issues and improving the overall Russian locale implementation.
datetimedate-timereadablestringshuman-readable
automl/auto-sklearn
Aug 2015 - Sep 2015
Automated Machine Learning with scikit-learn
Role in this project:ML Engineer
ML EngineerContributions:14 commits, 3 PRs, 7 comments in 1 month
Contributions summary:Aleksandr's commits primarily involve refactoring and modifying the `autosklearn/ensemble_selection_script.py` and `autosklearn/automl.py` files. These files are core to the automated machine learning process, specifically focusing on ensemble building and overall AutoML functionality. The code changes involve modifications to ensemble selection methods, suggesting a focus on model selection and the improvement of the AutoML pipeline. Additionally, edits were made in `test` files.
pythonmeta-learningmetalearningbayesian-optimizationhyperparameter-tuning
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