Alex Bezzubov

Machine Learning Engineer at JetBrains

Amsterdam, North Holland, Netherlands
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Summary

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Alex Bezzubov is a Machine Learning Engineer based in Amsterdam with 11 years of experience bridging research, consulting and startup product work. A mathematician by training from St. Petersburg State University, he pairs rigorous analytical thinking with hands-on engineering across full-stack and back-end systems. At JetBrains he applies ML in production contexts, while as an Apache Zeppelin committer and PMC member he has improved notebook UX and Python interpreter performance for a widely used open-source data science tool. His contributions to projects like Hercules show deep proficiency in Go and repository-history analysis, reflecting an ability to turn complex data into actionable insights. Comfortable shipping bug fixes, features and refactors alike, he thrives on improving developer tooling and reproducible analytics workflows.
code11 years of coding experience
bookSpecialist, Specialist at Saint Petersburg State University
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Stackoverflow

Stats
663reputation
48kreached
21answers
1question
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Github Skills (37)

git10
python10
pandas10
openzeppelin10
java10
javas10
go10
apache-zeppelin10
spark9
machine-learning9
sql9
apidoc8
architectures8
api8
junit8

Programming languages (31)

C#CGoCommon LispHTMLSvelteJupyter NotebookGroovy

Github contributions (5)

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src-d/hercules

Aug 2017 - Jun 2019

Gaining advanced insights from Git repository history.
Role in this project:
userBack-end Developer
Contributions:11 commits, 5 PRs, 13 comments in 1 year 10 months
Contributions summary:Alex primarily contributes to the back-end infrastructure and functionality of the Hercules project. Their commits involve adding features related to the analysis of Git repository history, including the implementation of author-file relationships and output formatting. They demonstrate a strong understanding of the project's core logic, working with Go code, and refactoring existing code to enhance its capabilities. Furthermore, the user implemented changes to existing tools and added features to align with specific requirements and improve the overall usability of the project.
git-repositoryburndowndeep-learningmining-software-repositoriestensorboard-visualizations
apache/zeppelin

Jun 2016 - Sep 2016

Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
Role in this project:
userFull-stack Developer
Contributions:4 commits, 83 PRs, 1383 comments in 2 months
Contributions summary:Alexander Bezzubov primarily contributed to bug fixes and improvements across various aspects of the Apache Zeppelin project. His work included fixing REST API paths, skipping Selenium tests during package builds, and addressing hostname-related security test failures. Additionally, he implemented features such as Git-based notebook versioning and the integration of Pandas support within the Python interpreter, enhancing the data analysis capabilities of the platform. Furthermore, he refactored and improved the Python interpreter for better performance and stability.
data-drivendata-analyticsanalyticsnosqlflink
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Alex Bezzubov - Machine Learning Engineer at JetBrains