Position: Computer Vision, Reinforcement Learning Architect/Engineer,Web QA Engineer, Mobile QA Engineer, QA Automation Engineer.
Category: QA Automation
English level: upper
Years of experience: 7

Full-Stack Video Developer: live and VOD streaming, media servers, content transcoding, scalability.  Machine Learning: supervised and unsupervised algorithms and their applications, reinforcement learning.  Computer Vision: classic and deep learning approaches.  Languages: Python, C/C++, Java, Node.js/JavaScript.
2018-Present – AI Researcher and Engineer at Birdsigns, Inc.: • Designed and implemented a computer vision and video platform, involving a various of computer vision algorithms: object detection, classification and tracking. • Successfully integrated such technologies and frameworks as: Python, Java, C/C++, JavaScript; OpenCV, Keras, TensorFlow, DarkNet; ResNet, RetinaNet, YOLO.  2013-Present - Video Platform Architect at Major League Gaming / Activision Blizzard Media Networks: • Developed and maintained scalable, distributed and real time streaming platform including many front- and back-end technologies, such as: Java, Node.js, MySQL, Mongo, RabbitMQ, Wowza Media Server, serving up to 500k concurrent viewers during major Esports events. • Created HTML5 and Flash based media player for interactive and rich experience on desktop and mobile platforms.  2011-2013 - Java and ActionScript developer at own3d.tv  2011-2012 - Senior Java and Flex developer at workzone.no (Norway) company - developing and maintaining video platform for the Norwegian Government
new skills