About

Venkata Santosh Muthireddy is an experienced Computer Vision Engineer with a strong background in classical and deep learning approaches to solve industrial problems. He is skilled in Deep Learning, Neural Networks, Robotics, and Linux. Currently, he works as a Computer Vision Engineer at Ubica Robotics GmbH, where he develops perception solutions for the company's products. Venkata has a Master's degree in Autonomous Systems from Bonn-Rhein-Sieg University of Applied Sciences. During his studies, he gained expertise in various areas, including computer vision, machine learning, robotics, and control systems. He also holds a Bachelor's degree in Electronics and Instrumentation from Shanmugha Arts, Science, Technology and Research Academy. Before joining Ubica Robotics GmbH, Venkata worked as a Student Research Assistant at Fraunhofer FIT, where he designed and developed custom annotation tools based on PyQt and created custom datasets for pig pose estimation and tail posture classification. He also implemented and evaluated various video classification and action recognition models like X3D, ResNet3D, ResNet(2+1)D, and ResNet2D+RNN for tail posture classification. Venkata also worked as a Computer Vision Developer at b-it-bots, where he contributed voluntarily to solve annotated dataset issues faced by the team. He also developed a tool for data augmentation to generate artificial images used to train deep learning models. Venkata is a Research Scientist with 2.61 years of relevant experience in Computer Vision, Deep Learning, Video Classification, ResNet, Neural Networks, RNN, and other related technologies. He is passionate about using his skills to develop innovative solutions to complex problems.