Artur Dudnik

Machine Learning Engineering Director at Impress

Barcelona, Catalonia, Spain
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Summary

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Artur Dudnik is a Machine Learning Engineering Director based in Barcelona with 14 years of hands-on ML and software experience and over 20 years in IT overall, known for turning legacy systems into production-ready AI products. He built an ML department from scratch to deliver an automated orthodontic treatment planner that creates full treatment plans from scans in eight minutes, and led complex medical image segmentation and mobile model optimization. Previously at Yandex he shipped production microservices, built training/inference pipelines, and improved model performance with feature engineering and CatBoost; as a freelancer and Toptal consultant he delivered high-performance full‑stack systems and performance-tuned frontends. A pragmatic leader who also manages infra cost by building on-prem ML servers, he combines deep technical breadth—from C++ and DirectX-era systems to modern React/Material UI—and a strong focus on quality and measurable metrics. Unobvious but telling: he contributed dependency and UI modernizations to an open-source Background Geolocation console, reflecting attention to long-term maintainability.
code14 years of coding experience
job14 years of employment as a software developer
bookhigher education, Physics, higher education, Physics at Immanuel Kant Baltic Federal University
bookschool, Mathematics and Phisics, school, Mathematics and Phisics at #18 High School in Kaliningrad
languagesRussian, English
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Stackoverflow

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Github Skills (10)

babel610
dependency-management10
babeljs10
javascript10
material-ui10
front-end-development10
webpacker10
react10
babel-core10
webpack10

Programming languages (11)

TypeScriptC#JavaC++ShellJavaScriptGoHaskell

Github contributions (5)

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A field-testing & analysis server for the Background Geolocation plugin
Role in this project:
userFull-stack Developer
Contributions:152 commits, 33 PRs, 171 pushes in 11 months
Contributions summary:Artur upgraded the project's dependencies, including webpack and Babel, to more current versions (v3 and v7 respectively). They also migrated the front-end to use Material UI 4, a significant UI library change. The user made various updates across front-end components and configurations, and also addressed minor code style issues and updated settings.
testingfieldbackground-geolocationgeolocationbackground
Sigura/slider

Oct 2016 - Sep 2019

Contributions:21 pushes, 1 tag in 2 years 11 months
reactjsreactreact-sliderslider
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Artur Dudnik - Machine Learning Engineering Director at Impress