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Ali Raza is an experienced professional in the fields of machine learning and engineering. Currently serving as a Team Lead and Machine Learning Engineer at Zolitron since October 2016, Ali focuses on machine learning applications for industrial projects, specifically in areas like vibration data analysis and fill level prediction for garbage containers. Previous experience includes a role as a Student Assistant where Ali developed algorithms using Python, TensorFlow, IoT, and AWS Sagemaker. Ali also contributed as a Student Research Assistant at CETECOM, researching global telecommunication standards, and worked as a Design Engineer at Harvetech, providing solutions in electronics and embedded systems. Ali's early internships at the Water and Power Development Authority and Amad Enterprise focused on power systems protection and industrial process optimization respectively. Ali holds a degree in Automation and Robotics from TU Dortmund University and a Bachelor's degree in Electrical and Electronics Engineering from the University of the Punjab.