Maxim Kolomeychenko
Founder And CTO at Supervisely
Tallinn, Harju County, Estonia
Summary
👤
Senior🎓
Top SchoolMaxim Kolomeychenko is a founder and CTO with eight years of hands-on experience building industrial deep learning products and platforms from R&D to production. He leads Supervisely, a machine learning platform that streamlines the full computer vision pipeline—annotation, data augmentation, training and deployment—making AI accessible to both junior engineers and experts. His team has delivered practical systems including a self-driving car prototype, receipt recognition and road defect detection, and he actively contributes ML-focused tutorials and ANPR work in open-source repos. Holding advanced CS degrees (including PhD-level study), Maxim blends academic rigor with entrepreneurial execution, often focusing on data pipelines and preprocessing optimizations that materially improve model performance.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Institute for Systems Analysis of Russian Academy of SciencesMaster's degree Computer Science, Master's degree Computer Science at Higher School of EconomicsBachelor's degree Computer Science, Bachelor's degree Computer Science at Bauman Moscow State Technical University
English, Russian
Github Skills (9)
data-preprocessing10
computer-vision10
machine-learning10
deep-learning10
python10
basics9
tensorflow9
learn-ruby-on-rails9
user-manual9
Programming languages (6)
Github contributions (5)
DeepSystems/supervisely-tutorials
Jul 2017 - Nov 2017
🌈 Tutorials for Supervise.ly
Role in this project:
ML Engineer & Data Scientist
ML Engineer & Data ScientistContributions:13 commits, 19 pushes, 2 branches in 3 months
Contributions summary:Maxim primarily worked on an ANPR (Automatic Number Plate Recognition) project. They focused on data loading, image preprocessing, and annotation loading. They modified image loading methods, updated file paths, and made changes to the image data preprocessing, suggesting an iterative approach to improving a machine learning model. These updates indicate a strong focus on model development and data-related tasks essential for machine learning applications.
deep-learningmachine-learning
supervisely-ecosystem/add-properties-to-image-from-csv
Nov 2020 - May 2022
Find row in CSV file and attach row data to image (as tags or as metadata)
Contributions:2 releases, 4 PRs, 37 pushes in 1 year 5 months
csvcsv-readerattachcsv-importsupervisely
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