Dmitry Kopylov is an engineering leader with eight years of experience heading collaboration products at Yandex, where he oversees Yandex Tracker, Wiki, and Forms and formerly led engineering teams. A hands-on technologist by background, he began as a developer in test building Python-powered testing frameworks, CI/CD integrations and monitoring solutions, and has deep experience in automating build and test workflows (including contributions to the popular CatBoost repo around test infrastructure, retries and reporting). He blends product ownership with low-level engineering skills across Python, C++ bindings and DevOps automation, and has a track record of shipping plugins and tooling to improve developer productivity. Based in St. Petersburg, he pairs pragmatic leadership with a history of hands-on implementation—from legacy Windows apps to modern web and testing ecosystems—making him adept at bridging product needs and engineering execution.
8 years of coding experience
9 years of employment as a software developer
St. Petersburg #395
Master, Computer Science, Master, Computer Science at Saint Petersburg State Marine Technical University
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Role in this project:
DevOps Engineer & Automation Engineer
Contributions:33 commits, 1 push, 1 comment in 5 years 1 month
Contributions summary:Dmitry primarily focuses on enhancing the build and test infrastructure within the repository. Their contributions include modifications to the `ytest` build plugin, specifically related to test tagging, data handling for Go tests, and the management of test retries. They also introduced support for Java diff tools and Allure reporting, indicating a focus on improving testing and reporting capabilities. These changes suggest a strong involvement in automating and streamlining the testing workflows.
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