Danish Faraaz Syed

Danish Faraaz Syed is a Machine Vision/Machine Learning Engineer at Noria Water Technologies since March 2022, where machine learning algorithms are applied to analyze time-series images of membranes in a reverse osmosis setup, culminating in reports for NSF submissions. Previously, Danish served as a Computer Vision Engineer at Foxconn Industrial Internet USA, focusing on API debugging and management systems for NVR configurations. Danish's academic experience includes roles as a Graduate Student Assistant and Graduate Research Aid at Arizona State University, where responsibilities ranged from grading engineering courses to developing computer vision algorithms for trash detection using UAVs, achieving a high success rate. Danish holds a Master’s degree in Robotics and Autonomous Systems from Arizona State University and a Bachelor's degree in Mechanical Engineering from St. Joseph's Institute of Technology.