Liudmila Vasileva

Liudmila Vasileva is a Deep Learning Engineer at Zenseact since December 2022, specializing in data visualization and model deployment for dynamic object detection and road lane segmentation. Previously worked as a Computer Vision Engineer at Integrant, focusing on neural network models for human and vehicle segmentation, tracking, and 3D object detection, and programming ROS nodes. Prior experience includes a Software Engineer role at ООО "НТЦ СевенТест," where GUI applications for telecom monitoring were developed, and automated project building with Jenkins CI, as well as serving as a QA Engineer at ID R&D Inc., where testing systems for voice recognition and face liveness detection were designed. Liudmila holds a Master's degree in Machine Learning Engineering from ITMO University and a Bachelor's degree in Computer Software Engineering from Peter the Great St. Petersburg Polytechnic University.