Position: Machine Learning Engineer
Category: Data Science
English level: upper
Years of experience: 4

Educational Kaggle Competitions Prizewinner
Kharkiv IT Cluster Scholar
Competitive programming:
- Samsung UA Code League 2018 Finalist
- High Achievements in KPI Open 2019
- Nure Code Jam 2018 Winner
- Google Code Jam 2019/2020/2021
- Google Hash Code 2019/2020/2021
- ACM ICPC 2019 1/8, 1/4 and 1/2
- ACM ICPC 2020 1/8, 1/4 and 1/2
Projects:
- Platform for chatting with virtual characters
- Mobile app with real-time face filters
- Virtual advertisement placement in sport events
- High-quality image matting service
- Real-time people identification system

Areas of expertise:
- Computer Vision: image classification, segmentation, generation, face recognition
- Natural Language Processing: information retrieval, language modeling, text clustering

Responsibilities:
- Analysis of the subject area, the proposal of hypotheses for solving the problem
- Papers and team's ideas implementation
- Model training, quality assessment, diagnostics
- Data generation and filtering
I aim to work in ambiguous and cozy product companies that bring value to customers using the latest machine learning technologies. I like to perform challenging research and development tasks, which drives me to constantly learn something new. Also, I love to get knowledge and ideas from my team members as well as share my own with them.