Dmitry Sorokin
Senior Machine Learning Engineer at Next Step Fusion
Luxembourg
Summary
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Rockstar🎓
Top SchoolDmitry Sorokin is a Senior Machine Learning Engineer based in Luxembourg with a strong foundation in applied physics and mathematics (MIPT) and PhD-level training in computer science. Over a career spanning research roles at the Russian Quantum Center and an AI research institute to production-focused engineering at Yandex and Next Step Fusion, he bridges deep research with practical MLOps and backend development. He has hands-on experience refactoring production pipelines and improving developer workflows, contributing to notable open-source tooling like Kedro to make data science pipelines more reproducible and maintainable. Dmitry combines academic rigor with pragmatic engineering: he moves models from research prototypes to robust, configurable pipeline implementations. Colleagues can expect a blend of scientific curiosity, attention to codebase structure, and a knack for improving operational workflows in ML projects.
2 years of coding experience
8 years of employment as a software developer
machine learning developer, machine learning developer at Школа анализа данныхMaster's degree, applied physics and mathematics, Master's degree, applied physics and mathematics at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Высшая Школа Экономики
Github Skills (12)
cli10
kedro10
command-line-interface10
configuration-management10
mlops10
python10
pipeline10
yaml10
command-line10
pytest9
testing9
documentation8
Programming languages (2)
Github contributions (5)
kedro-org/kedro
Jul 2023 - Apr 2025
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Role in this project:
Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions:226 reviews, 57 PRs, 223 pushes in 1 year 8 months
Contributions summary:Dmitry primarily focused on refactoring the Kedro pipeline and catalog creation process to align with a new configuration structure. They modified the command-line interface for pipeline and catalog creation, catalog configuration and implemented changes to support example pipelines within the Kedro framework. Additionally, the user addressed documentation issues, fixed broken links, and updated the release process. Their contributions demonstrate expertise in modifying codebase structure and ensuring smooth project workflows.
experiment-trackingpythonsciencepipelinedata-science
DimedS/Dimed
Aug 2023 - Jul 2024
Contributions:2 pushes, 1 branch in 10 months
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