Dmitriy Kruchinin
Machine Learning Engineer at Yandex
Nizhny Novgorod, Nizhny Novgorod Oblast, Russia
Summary
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Rockstar🎓
Top SchoolDmitriy Kruchinin is a machine learning engineer with 7 years of experience building ML tools and speech synthesis systems at Yandex.Cloud and contributing to core ML projects like CatBoost. He has practical expertise spanning model evaluation for satellite imagery, GPGPU/OpenCL optimization for OpenCV, and production-grade ML tooling and benchmarks. Dmitriy also brings strong test automation skills from contributions to the widely used CVAT project, where he authored end-to-end Cypress tests to improve annotation reliability. Based in Nizhny Novgorod, he combines a solid academic foundation in software engineering with hands-on experience shipping robust ML systems. Colleagues value his blend of low-level performance work and higher-level ML productization, particularly in speech and tooling domains. He is comfortable working across the stack from GPU-optimized algorithms to cloud-deployed ML services.
7 years of coding experience
2 years of employment as a software developer
Магистр, Software engineering, Магистр, Software engineering at St. Petersburg Academic University of the russian academy of sciencesНижегородский Государственный Университет им. Н.И. Лобачевского (ННГУ)
Stackoverflow
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Github Skills (6)
cypress10
test-automation10
javascript9
annotate7
annotation-processing7
annotations7
Programming languages (4)
Github contributions (5)
cvat-ai/cvat
Jul 2020 - Nov 2021
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:297 reviews, 210 commits, 282 PRs in 1 year 3 months
Contributions summary:Dmitriy's contributions center around adding and maintaining Cypress tests within the CVAT repository. They focused on implementing end-to-end tests to validate functionality, covering a wide array of features, from user authentication and UI interactions to object annotation and project management. These efforts aimed at ensuring code quality by creating tests for bug fixes, new features, and overall system reliability, demonstrating a solid understanding of test automation principles and the Cypress framework.
semantic-segmentationcvatannotation-toolimage-classificationtensorflow
dvkruchinin/cvat
Jul 2020 - Jan 2022
Powerful and efficient Computer Vision Annotation Tool (CVAT)
Contributions:4 releases, 473 PRs, 2001 pushes in 1 year 6 months
visionobject-detectioncomputer-visioncvatannotation-tool
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