Dmitrii Deriabin
Senior Software Engineer at Maven Securities
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolDmitrii Deriabin is a Senior Software Engineer based in London with seven years of hands-on experience building production-ready data and ML systems across finance and tech. His background spans roles from quantitative and data science work to machine learning engineering and backend development at firms such as Maven Securities, Yandex and QuantumBlack, blending strong mathematical training (MSc Financial Mathematics, Distinction) with practical software delivery. He contributes to notable open-source projects in the Kedro ecosystem, improving CI/CD and documentation builds and enhancing backend reliability for kedro-viz, showing attention to developer experience as well as runtime stability. Comfortable operating at the intersection of DevOps, backend engineering and data pipelines, Dmitrii has a track record of reducing friction in complex projects by automating builds, fixing subtle documentation bugs and hardening test suites. Notably, his contributions often focus on the less-visible but high-impact infrastructure work that keeps data science tooling reproducible and maintainable.
7 years of coding experience
7 years of employment as a software developer
Master of Science (MSc), Financial Mathematics, Passed with Distinction, Master of Science (MSc), Financial Mathematics, Passed with Distinction at King's College London, U. of LondonBachelor's degree, Mathematics in Economics, 2.1, Bachelor's degree, Mathematics in Economics, 2.1 at Пермский Государственный Университет (ПГУ) / Perm State University (PSU)
English, Russian
Stackoverflow
1,558reputation
143kreached
21answers
9questions
amazon-web-services
top-5%
Github Skills (26)
server-side10
pytest10
python10
testing10
cicd10
server10
documentation10
read-the-docs10
sphinx9
amazon-web-services9
configuration-management9
kedro9
data-visualization8
multi-process8
multiprocessing8
Programming languages (3)
Github contributions (5)
kedro-org/kedro
May 2019 - Dec 2020
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:
DevOps Engineer
DevOps EngineerContributions:25 reviews, 91 commits, 21 PRs in 1 year 7 months
Contributions summary:Dmitrii's commits primarily focused on enhancing and maintaining the documentation build process for the project. This involved adding and modifying steps within the ReadTheDocs (RTD) configuration files, ensuring the documentation builds correctly on the RTD platform. Furthermore, the user addressed a bug by fixing broken links within the documentation and included actions in the CI/CD pipeline (CircleCI) to build the documentation automatically. The changes also reduced the logging level for anyconfig, demonstrating attention to detail in optimizing the system.
experiment-trackingpythonsciencepipelinedata-science
kedro-org/kedro-viz
Feb 2020 - Feb 2020
Visualise your Kedro data and machine-learning pipelines and track your experiments.
Role in this project:Backend Developer
Backend DeveloperContributions:21 reviews, 8 commits, 2 PRs in 1 day
Contributions summary:Dmitrii primarily contributed to the backend of the Kedro-Viz project, focusing on server-side logic and application features. Their work included implementing dynamic port allocation for the Viz process to ensure its smooth operation and resolving merge conflicts. They also added multiple tests and refactored the testing suite.
experiment-trackingpythonreactkedro-plugindata-science
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