Aurora
Nishit Parekh is a skilled software engineer with a strong background in computer vision and machine learning. Currently serving as Software Engineer II at Aurora, Nishit has previous experience as a Machine Learning Engineer at Perceptive Automata, where contributions included building and verifying computer vision models for autonomous vehicles. In addition, Nishit worked as a Computer Vision Engineer at Eyenuk, Inc., focused on developing deep learning models to predict diabetic retinopathy. Nishit has also held roles as a Teaching Assistant at the University of Massachusetts Amherst, a Research Intern at Gracenote and LRDE, and a Project Trainee at Mastek Ltd. Educational qualifications include a Master’s Degree in Computer Science from the University of Massachusetts Amherst and a B.Tech in Computer Science from the Indian Institute of Technology Jodhpur.
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Aurora
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Aurora (Nasdaq: AUR) is delivering the benefits of self-driving technology safely, quickly, and broadly. Founded in 2017 by experts in the self-driving industry, Aurora is revolutionizing transportation – making it safer, increasingly accessible, and more reliable and efficient than ever before. Its flagship product, the Aurora Driver, is a platform that brings together software, hardware, and data services, to autonomously operate passenger vehicles, light commercial vehicles, and heavy-duty trucks. Aurora is partnered with industry leaders across the transportation ecosystem including Toyota, Uber, Volvo, FedEx, and PACCAR.