Bio
I began my machine learning career in 2016 in a research area, then I began my professional career as a computer vision specialist and Python backend developer. Over time, I worked on different ML projects which are connected to Computer Vision, Natural Language Processing, and some experience with classical tabular data. Right now I am actively learning Reinforcement Learning mostly for my personal interest. The main domains are industry, healthcare, and several projects with finance including investment analytics for my pet project. Regarding cloud providers, I prefer to use AWS to build Machine Learning and Data Processing pipelines based on serverless technologies. From a management skill perspective, I have experience in leading small Data Science teams and customer communication to make the process as clear as possible for them. I gained a lot of experience working with AWS cloud technologies. Now I plan to build my career in the Machine Learning Architect direction.
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