Mikhail Yutman
Data Scientist
Serbia
Summary
👤
Senior🎓
Top SchoolMikhail Yutman is a data scientist and machine learning engineer based in Serbia with over a decade of professional experience and five years focused on ML in industry. He builds production-ready data-mining pipelines, applies state-of-the-art NLP models for information extraction, and designs ranking and quality metrics for Yandex Search’s Object Answer product, combining product vision with rigorous A/B and offline evaluation. Earlier roles span quantitative research for trading systems, speech-to-text data pipelines at Yandex.Cloud, and low-level concurrent Java work—he implemented and stress-tested a lock-free set for a high-performance computing course repository. Comfortable moving between research, engineering, and product metrics, he brings strong applied math training (HSE) and a track record of shipping robust, concurrent and ML-driven systems.
10 years of coding experience
2 years of employment as a software developer
President Physics and Mathematics Lyceum 239Bachelor's degree, Applied Mathematics and Information Science, 7,8/10, Bachelor's degree, Applied Mathematics and Information Science, 7,8/10 at Higher School of EconomicsMaster's degree, Software Development and Data Analysis, 7,98/10, Master's degree, Software Development and Data Analysis, 7,98/10 at Высшая Школа ЭкономикиBachelor's degree, Bachelor's degree at Saint Petersburg Academic University of the Russian Academy of Sciences
Github Skills (7)
javas10
lock-free10
java10
concurrency10
data-structures8
data-structure8
algorithms7
Programming languages (9)
Github contributions (5)
eugenyk/hpcourse
Mar 2019 - Jun 2019
Repository to store student's practical works on high performance computing course
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 2 PRs, 4 comments in 3 months
Contributions summary:Mikhail primarily worked on implementing and fixing a lock-free set data structure in Java, demonstrating a focus on concurrent programming. They added the core functionality of the lock-free set, including `add`, `remove`, and `contains` methods. The user also implemented an iterator and conducted JCStress tests to validate the concurrency safety and correctness of the lock-free set implementation. They fixed multiple issues related to concurrency and data consistency.
high-performance-computingpracticalperformancecomputingpractical-works
GrigoryBartosh/memoscope_android
Nov 2018 - Nov 2018
Contributions:31 commits, 3 PRs, 25 pushes in 2 days
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