Infrastructure and information security engineer in the communication sphere. Gathering, processing, and analysis of data. Digital signal processing and classification. Data visualization. Computer networking. General software development(Flask, React, Typescript). Some ML research.

Worked in the roles of backend, automation, and support on different projects helping growing and established companies with their needs. The projects were in the fields of e-commerce, retail, and healthcare.* backend: Django, DRF, Flask, Postgres, Selenium, AWS.* frontend: React

Worked as a Backend and Automation Engineer. The main product was a Deep Learning solution for healing and maintaining existing automation scripts. It was a solution for Selenium, Appium, and Cypress.* backend: Tornado, Redis, Postgres, OAuth2, JWT, Docker, Kubernetes, Selenium, Jenkins, Linode, Bash, Pytorch.Worked on Admin and Auth APIs, algorithms, endpoints, scripting, occasional ML work(Pytorch).

Autonomiq project(acq. by Sauce Labs). - Worked as a Python Engineer. Was involved in tasks such as * backend: Tornado, Flask* frontend: React* NLP, behaviour trees, data science and analytics.Active developer in the R&D department of the company. The project was about an NLP-based solution for generating automation scripts, code maintenance, and (later) test auto-healing.

Was involved in different tasks ranging from qa/aqa to big data scripting and software engineering. Participated in the development of big data APM tools. One such responsibility was the development and testing of the AutoAction component which was used for monitoring and management of Hadoop clusters, gathering and analysis of metrics from Hadoop, Spark, Amazon EMR, Azure HDI, etc.