Founder and CEO at Albumentations.AI, Ph.D. in Physics., Kaggle GrandMaster
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Albumentations.AI
Data Scientist
June 22, 2026 – Present
cloths_segmentation
October 29, 2020 – November 9, 2020
Code for binary segmentation of cloths
View Projectpeople_segmentation
September 22, 2020 – March 8, 2023
Code for the model to segment people at the image
View Projectretinaface
July 19, 2020 – January 27, 2023
The remake of the https://github.com/biubug6/Pytorch_Retinaface
View Projectalbumentations_examples
November 22, 2019 – Present
Augmentations usage examples for albumentations library
View Projectalbumentations
June 6, 2018 – June 25, 2025
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
View ProjectTernausNetV2
June 2, 2018 – May 23, 2020
TernausNetV2: Fully Convolutional Network for Instance Segmentation
View Projectrobot-surgery-segmentation
February 13, 2018 – March 28, 2024
Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge
View ProjectTernausNet
December 30, 2017 – October 26, 2022
UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset
View Projectkaggle_carvana_segmentation
October 5, 2017 – November 22, 2022
Code for the 1st place model in Carvana Image Masking Challenge
View Projectkaggle_dstl_submission
March 16, 2017 – June 9, 2018
Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on computer vision and image processing, which aligns well with a Data Scientist role specializing in these areas. However, the breadth of projects outside of this specific domain is limited, which might indicate a narrower scope of interest or experience. The candidate's current role at 'Albumentations.AI' further reinforces this specialization. The lack of diverse project types or team-based project descriptions makes a comprehensive cultural fit assessment challenging.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise and technical, but no direct evidence of communication, teamwork, or stress handling is available from the provided data.