Kamran Sial is a skilled professional with a strong background in automation, robotics, and computer vision. Educational qualifications include a Master's Degree in Automation and Robotics from TU Dortmund University and a Bachelor of Engineering in Mechatronics from the National University of Sciences and Technology. Kamran's experience encompasses roles such as a Student Assistant at TU Dortmund University, contributing to the development of a storage and retrieval automation system using LabVIEW; a Master Thesis Student at Robert Bosch Corporate Research, focusing on deep learning applications in computer vision; an intern at BSH Home Appliances Group, where responsibilities included path planning for a vacuum cleaner robot; an R&D Engineer at Taraz Technologies, working on intelligent current sensors; and currently serving as a Manager in Computer Vision and Machine Learning at BASF. Previous engineering training was completed at the National Radio Telecom Corporation of Pakistan, where Kamran developed firmware for a platoon early warning system.
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