Matthew Wolff is an accomplished software engineer and machine learning expert with a dual Bachelor's degree in Computer Science and Genetics & Genomics from the University of Wisconsin-Madison, and a Master's degree in Computational Biology from Carnegie Mellon University. With experience across various domains, including academia and industry, Wolff has served in roles such as a Computer Sciences Tutor and Graduate Teaching Assistant, providing instruction in advanced programming and data structures. Significant contributions were made as a Machine Learning Engineer at Amazon, focusing on ad response prediction and fashion recommendations, alongside internships at West Bend Mutual Insurance, Capital One, and Arity, where skills in data engineering, software development, and bioinformatics were honed. Wolff's blend of technical expertise and analytical skills is underscored by a strong academic track record and hands-on experience in machine learning workflows, data pipelining, and developing user interfaces.
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