Raghav Avasthi is a Machine Learning Engineer with over six years of experience specializing in developing and deploying machine learning models, enhancing data processing pipelines, and contributing to innovative product designs. Currently, as a Staff Machine Learning Engineer at Sunrun, they focus on designing advanced systems for detecting insider fraud and threats. Raghav's prior roles include positions at Broad Institute of MIT and Harvard and Lendbuzz, where they honed their skills in anomaly detection, computer vision, and deep learning. They hold a Master of Science in Computer Systems Engineering from Northeastern University and dual degrees in Electronics and Communication Engineering from Jaypee Institute of Information Technology.
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