Position: Middle CV/ML engineer
Category: Data Science
English level: upper
Years of experience: 2

For half a year, I successfully combined work with service in the Armed Forces of Ukraine.
After switching to ML field, immediately started working on separate features, assigned to me, and successfully implemented them.
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Curently fulfilling my duty at Armed Forses of Ukraine, therefore temporaly not avaliable for cooperation. 
Profile is on passive search so I can be aware of tendencies and requirements in ML/DS field and keep up with them.
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I am looking for opportunities to apply both my developer experience and new knowledge and admiration in data science / ML in practice with a good and experienced data science team.

• Strong background in statistics, probability theory, neural networks
• 1 year of commercial experience as cv/ml engineer. Full cycle development from feature idea to trained model, including research of existing models and datasets, paper research and implementation, dataset enhancement, building pipelines for model  training, testing, metrics analysis and visualization, model training and improvement.
I have worked on development of "smart" features for photo-editing software. Technologies and methods used are:
- Semantic segmentation, object detection
- GANs
- FBA-mating, filters, various enhancement methods.
- Creating custom model architectures, custom loss-functions
• 1 year of python non-commercial experience, with focus on data science and ML fields. Participated in Kaggle competitions, contributed to open-source projects with the Udemy course community.
• 7+ years of commercial experience in c# development, including building complex document management systems from scratch, supporting and adding new features over years, implementing integration with other PDM and CAD systems, developing SQL server databases. Worked both in team and as a self-dependent software engineer, engaged in communication with customers to define features details and architecture. Obtained knowledge of energetic and engineering domains.
• Master’s degree in computer science with a degree project in neural networks field.
Not gambling, microcredits, russia-affiliated business.