Ravi Garg is a Principal Applied Scientist at Amazon, specializing in multimedia signal processing, machine learning, and information forensics. With a PhD in Electrical Engineering from the University of Maryland, Ravi previously worked as a Research Scientist at Intel Corporation, where they developed automated visual defect detection systems. During their time at Mitsubishi Electric Research Labs as a Research Intern, Ravi proposed an innovative feature extraction scheme for fingerprint matching, resulting in a conference paper and a patent application. Ravi's extensive experience in academia includes significant contributions to signal processing techniques and machine learning applications, evidenced by multiple publications and patents.
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