ACV Auctions
Mamona Awan is a Machine Learning Engineer III at ACV Auctions since February 2023, with a rich background in artificial intelligence and machine learning. Previous experience includes serving as a Researcher at Mohamed bin Zayed University of Artificial Intelligence, focusing on computer vision and deep learning, where a novel pipeline for unsupervised learning keypoints discovery was developed. At Prognica Labs, Mamona Awan analyzed multimodal data and designed a pre-processing pipeline for deep neural networks. Additionally, experience as a Lecturer in Computer Science at FAST-NUCES encompassed subjects such as robotics and digital logic design. Earlier roles included a Research Assistant at Gwangju Institute of Science & Technology, specializing in spatial augmented reality and computer vision, and an internship at Descon Integrated Projects Limited. Academic qualifications include a Master of Science in Mechatronics, Robotics, and Automation Engineering, and a Bachelor of Science in the same field from the University of Engineering and Technology, Lahore.
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ACV Auctions
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ACV Auctions’ mission is to become the most trusted source in the industry for purchasing wholesale vehicles. Their product leverages mobile to its maximum benefit through enabling 20-minute auction sessions from dealers’ lots; this eliminates the need to ship cars to auction. Their technology modernizes the entire arc of auction operations, including account management, title management, floor plan purchasing, arbitration, and facilitating logistics.