Aleksei Zinovev
Committer, PMC, Apache Ignite at JetBrains
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolAleksei Zinovev is a seasoned distributed systems and ML engineer with 14 years of experience, currently serving as Committer and PMC for Apache Ignite and leading the Kotlin for Data Science team at JetBrains. He build tools that bridge deep learning and big data—authoring KotlinDL (a Keras-like Kotlin library) and driving Ignite’s ML and Spark integration, including TensorFlow Java API contributions. Aleksei combines hands-on backend development (Java/Scala/Kotlin) with product leadership: coordinating large open-source contributor communities, running trainings, and presenting at Spark Summit and ApacheCon. His work spans production-grade distributed ML (AutoML, online learning, ensemble methods) and practical integrations across Spark, Hive, Hadoop and ONNX. A longtime advocate of performance-driven optimizations, he traces his distributed computing roots to running Hadoop clusters in 2012 and tuning query/storage layers for orders-of-magnitude speedups. Based in Berlin, he pairs academic grounding in operations research with a knack for turning research-grade ML stacks into developer-friendly, deployable platforms.
14 years of coding experience
15 years of employment as a software developer
Master's degree Operations Research and System Analysis, Master's degree Operations Research and System Analysis at Омский Государственный Университет (ОмГУ) / Omsk State University (OSU)
Русский, English, German, Polish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (4)
java10
javas10
refactoring10
caching10
Programming languages (7)
Github contributions (5)
apache/ignite
Nov 2017 - Dec 2020
Apache Ignite
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 reviews, 113 commits, 166 PRs in 3 years
Contributions summary:Aleksei primarily worked on cleaning up and refactoring OLS (Ordinary Least Squares) code within the modules/ml directory of the Apache Ignite project. The commits focus on code cleanup and refactoring. This work involved changes within the `modules/ml/src/main/java/org/apache/ignite/ml/math/distributed/CacheUtils.java` file, suggesting an effort to improve the maintainability and structure of the codebase, specifically related to caching utilities.
data-management-platformin-memory-databasedistributed-sql-databaseapache-ignitenetwork-client
zaleslaw/PySpark-Tutorial
Dec 2018 - Feb 2019
Contributions:18 commits, 1 push, 1 branch in 1 month
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