Amrit Gorle

Amrit Gorle is a software engineer with diverse experience in various roles, including internships at prominent companies. At MITRE, Amrit forecasted aviation risk events using deep neural networks and generated traffic data with Generative Adversarial Networks. Experience at Setty & Associates involved predicting building project costs and employing optical character recognition for image analysis. As a web application developer at Insight Interfaces LLC, Amrit enhanced an interactive video conferencing solution, while research internships at the U.S. Naval Research Laboratory focused on human-robot interaction and object recognition using deep neural networks and YOLO. At Uber, Amrit created a pipeline for detecting data inconsistencies in machine learning processes. Amrit holds a Bachelor of Science in Computer Science from the University of Virginia, following education at Thomas Jefferson High School for Science and Technology.