DevOps Engineer & Product Manager & Python Developer

The candidate is an experienced DevOps developer who mainly works with Kubernetes, Docker and Python programming - an area of artificial intelligence in which he would like to stay and develop further. Other projects are not interesting for him. He currently works as a DevOps developer, where he is responsible for managing Linux servers, managing a team of several members and also recruiting new people for the job. He has worked on several projects where he was directly responsible for the development and AI model which was then deployed to the Cluster. He has been working commercially on Kubernetes for 2 years and on all AI for over 4.5 years. Some of the key technologies The candidate encounters every day are airflow, docker, postgra, Greeplam and Python. Short-term projects and startups are not attractive to him. He uses the English language on a daily basis in both spoken and written form.

Data Engineering (March 2020 - Present): As a machine learning devops engineer, I design and optimize machine learning tasks by deploying them to a multi-node cluster running Kubernetes. I develop effective Docker containers for running machine learning models and orchestrate the process using Python APIs and Airflow. I work in an international team.

Fullstack Developer (June 2018 - March 2020): In this fullstack position, I designed, developed, and optimized an emotion detection algorithm for personalized onboarding of a client's web application. I used Python's machine learning libraries, deployed the product to a Docker swarm, and performed maintenance. I also worked with JavaScript for frontend development.

Data Analyst (April 2017 - October 2017): I worked as a data analyst, web scraper, and machine learning engineer in a small group of Python developers. I performed tasks such as developing REST APIs, creating queries for relational databases, and fixing bugs. Key technologies used included Elasticsearch, PostgreSQL, and Docker. I worked remotely.

Machine Learning Developer (May 2017 - August 2017): I developed a smart search engine for a job post application, implementing machine learning algorithms and an Elasticsearch database. The search engine was designed to work with multiple languages and classify job posts based on language. This was a remote freelancing position. I worked remotely.

Education: I hold a Ph.D. in Computer Science (on hold) from the Faculty of Informatics and Information Technologies at the Slovak University of Technology. I also have a Master's degree and Bachelor's degree in Computer Science from the same institution. Additionally, I completed my high school education at Grammar School Trstená, with a focus on information technology.