Parshad Patel is a Data Scientist at Yummly (a Whirlpool subsidiary), a company with a mission to be the smartest and most helpful food platform in existence. He has over a decade of diverse experience using applied machine learning to solve computer vision and general ML problems for security robots and consumer products. He also has a deep interest in hardware and has built start-ups to tackle waste management and retrofitting defense systems. He has successfully led and built several machine learning projects, including hardware building, labeling, pipeline building, model training, deployment and monitoring. He currently leads development of end-to-end machine learning pipelines, MLOps and edge-based models to enhance user experiences with Yummly’s Smart Thermometer. Parshad holds a master’s degree in Robotics from Carnegie Mellon University.