Yauheni Marushko

Yauheni Marushko began their work experience in 2010 at the United Institute of Informatics Problems as a Researcher, where they focused on developing computer vision algorithms and neural networks. Yauheni implemented neural network algorithms for processing telemetric information.

In 2018, they joined Softarex Technologies, Inc. as a Computer Vision Engineer. Yauheni was a member of the research team and contributed to the development of core algorithms and new products. Yauheni performed system calibration, quantitative performance testing of 3D reconstructions, and created quality measurement processes. Yauheni also implemented and optimized computer vision algorithms, specifically stereoscopic and photometric algorithms.

Yauheni Marushko later took on the role of Lead Computer Vision Engineer at Softarex Technologies, Inc. In this position, they led the core R&D team in developing algorithms and proof of concepts. Yauheni established the necessary architecture for integrating a pipeline of 3D data for object recognition and measuring based on stereovision and photogrammetry. Yauheni managed the development of various computer vision systems, including automatic license plate recognition, vehicle tracking, face recognition, object tracking, and object re-identification.

Overall, Yauheni Marushko has extensive experience in computer vision, algorithm development, and neural networks.

From 2005 to 2011, Yauheni Marushko attended Belarusian State University of Informatics and Radioelectronics, where they obtained a Master of Science (MS) degree in Computer Science.