Alexey Sukharevich - ML Developer At Kaggle at Google

Alexey Sukharevich

ML Developer At Kaggle at Google

Warsaw, Masovian Voivodeship, Poland

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Summary

👤

Senior

🎓

Top School

Alexey Sukharevich is an experienced machine learning developer with 11 years building production-ready AI systems across geospatial, computer vision, OCR, and fraud-detection domains. Currently at Kaggle within Google, he blends research-grade model work with pragmatic engineering, having previously led end-to-end deep learning projects at OneSoil and an AI-driven anti-fraud platform at GeoComply. His contributions to the popular Orange3 data analysis framework show a long-standing commitment to improving ML tooling and model evaluation through practical enhancements like stratified sampling and widget refactors. Trained at Belarusian State University and Yandex School of Data Analysis, he pairs solid academic foundations with hands-on deployment experience from startups to large enterprises. He’s comfortable spanning the stack—from model fine-tuning and CV on satellite/SAR data to scalable production pipelines—bringing a knack for turning complex, noisy data into reliable predictive systems.

11 years of coding experience

8 years of employment as a software developer

Master's degree Algorithms and systems for big data processing, Master's degree Algorithms and systems for big data processing at Belarusian State University

Computer Science, Computer Science at Yandex School of Data Analysis

English, Russian

Github Skills (15)

scikit-learn10

data-mining10

regression10

machine-learning10

python10

data-science10

classification10

cross-validation10

scikit10

testing9

data-visualization8

data-visualisation8

pandas8

data-visualizations8

orange8

Programming languages (2)

TypeScriptPython

Github contributions (5)

biolab/orange3

Mar 2016 - Aug 2016

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

Role in this project:

Data Scientist

Contributions:22 commits, 20 PRs, 50 comments in 5 months

Contributions summary:Alexey primarily contributed to the Orange3 data analysis framework by implementing and refining machine-learning-related functionalities. They added stratified sampling options for cross-validation and shuffle splitters, which involved modifying existing testing procedures. They also fixed a bug in the reporting mechanism and adjusted widget parameters, showcasing a focus on improving the model evaluation and usability of the framework. Further contributions included refactoring and improving base classes for learner widgets.

orangepythondata-miningorange3scipy

s-alexey/orange3-text

Mar 2016 - Aug 2016

Text Mining add-on for Orange3

Contributions:21 commits, 2 PRs, 419 pushes in 4 months

nlppythonminingorange3text-mining

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