Experience

G42

• United Arab Emirates
• IT Services and IT Consulting
• 500 - 600 Employee

• Computer Vision Scientist

  • Oct 2021 - Sep 2022

  Abu Dhabi, United Arab Emirates Working on CV and ML solutions for several company products. Some of the results: • Developed Pose Estimation service that works in real time on mobile device. Managed kotlin prototype development. • Developed Video Background Matting model that has very competitive quality and performance 100 FPS on 720p on MacBook.



Acronis

• Switzerland
• Software Development
• 700 & Above Employee

• Senior Computer Vision Research Engineer

  • Jan 2021 - Oct 2021

  Led a team of 4 engineers and 4 students from MIPT. Together we: • Developed Video Analytics pipelines from scratch for 2 products. They were successfully delivered to the customer and got strongly positive feedback. • Developed 2 MVPs that were accepted to launch. • Delivered multiple new features to the existing products that significantly improved their value. Technologies: PyTorch, PyTorch-Lightning, OpenCV, Sklearn, DVC, Hydra, MLFlow, GCP, Flask, MongoDB, Docker, CVAT.

• Computer Vision Research Engineer

  • Jul 2019 - Dec 2020

  • Developed Object Detection, Field Detection, Color and Number Recognition, Re-Identification, Homography Estimation, Object Tracking models that significantly improved the accuracy of tracking and increased the value for the customer. • Developed distributed architecture and optimized models to achieved realtime tracking speed. • Worked with backend team to create tracking service from scratch. • Built "Human-in-the-Loop" data collection pipeline that significantly improved… Show more • Developed Object Detection, Field Detection, Color and Number Recognition, Re-Identification, Homography Estimation, Object Tracking models that significantly improved the accuracy of tracking and increased the value for the customer. • Developed distributed architecture and optimized models to achieved realtime tracking speed. • Worked with backend team to create tracking service from scratch. • Built "Human-in-the-Loop" data collection pipeline that significantly improved robustness of tracking. • Created MVP for 2 Computer Vision products including several CV/ML models and Flask backend that was approved to launch.

• Computer Vision Research Intern

  • Jun 2018 - Jun 2019

  Developed Optical Football Tracking Algorithm using traditional methods of computer vision for static panoramic camera. I wrote my master's thesis based on the result of the internship.

• Junior QA Automation Engineer

  • Aug 2017 - May 2018

  Moscow, Russian Federation • Integrated the framework developed during my internship into QA automated pipeline. • Implemented 30+ GUI-testing scenarios using this framework with 90%+ coverage that reduces manual QA team from 3 to 1 people. Technologies: Python, PyTest, Selenium, Appium, Docker, Jenkins,

• QA Intern

  • Oct 2016 - Jul 2017

  Moscow, Russia Developed the framework for GUI-testing Acronis Backup mobile app. I wrote my bachelor's thesis based on the result of the internship.



Moscow Institute of Physics and Technology (State University) (MIPT)

• Russian Federation
• Higher Education
• 100 - 200 Employee

• Scientific Advisor

  • Aug 2020 - Oct 2021

  Moscow, Russia Led a team of 7 students from MIPT who were conducting research under the joint program of Acronis and MIPT. Most of the results were delivered into production. Based on the results of the program, 4 students were hired by Acronis, 2 got a Master's degree, and 1 got Bachelor's degree.



Mail.ru Group

• Russian Federation
• Software Development
• 700 & Above Employee

• Machine Learning Engineer

  • Feb 2019 - Jul 2020

  Moscow, Russian Federation • Developed Image-Text Matching model based on Metric Learning and big data that improved Image Search metric by 30%. • Integrated the model into production pipeline with latency less than 10ms. • Implemented image preview algorithm based on face and text location that improved Image Search UX. Technologies: Python, PyTorch, Tensorflow, OpenCV, Hadoop, Sklearn, C++.



Yandex

• Russian Federation
• Technology, Information and Internet
• 700 & Above Employee

• Software Engineer

  • Jul 2018 - Oct 2018

  Moscow, Russian Federation Developed Search Personalization Module for Yandex.Market that significantly improved Textless Search quality. Technologies: C++, Python and internal Yandex tools: YQL, YT, Nirvana.