Position: Computer Vision/Machine learning Engineer
Category: Data Science
English level: upper
Years of experience: 5

The industry-recognized and award-winning CV features of our product make me happy to have had an impact on it and IMO, are my greatest accomplishment as a CV engineer and later a CV lead.
Some of my recent achievements:
- improved our service's performance by 20% while also saving 15% in costs.
- introduced few-shot learning for one of the product features and made adding new classes much faster (1-2 weeks -> 15 minutes) and independent from DS team load
I'm a machine learning engineer with 5 years of experience. For most of my career I worked on computer vision problems and at the moment I'm in charge of the whole computer vision direction at my present employer. I`m a product-oriented person, that prefers improving user experience and business metrics rather than doing stand-alone machine learning research. I worked with object detection, image classification, metric learning, text detection and recognition, image search, and a lot of other computer vision tasks.
I have a high sense of ownership and follow the principle of “Getting Thighs Done” to ship research to end-user in the best and the fastest way, so I have experience with Docker, Kubernetes and Github actions to be able to own everything from beginning to end.
I also have experience with traditional machine learning and natural language processing, such as topic modeling, text classification, web page element extraction and classification, bot detection, churn prediction, etc.
Things important to me:
- ability to have an impact on the product
- challenging business-oriented tasks
- result-oriented environment.