Michael Shliselberg is an experienced professional with a background in machine learning and research. Michael served as an Undergraduate Researcher at the University of Massachusetts Amherst, focusing on performance testing of machine learning algorithms for hyperspectral imaging and investigating logic debugging of arithmetic circuits. Following this, Michael worked as a Machine Learning Researcher at Systems & Technology Research and later as a Machine Learning Engineer II at Amazon. Currently, Michael is pursuing a PhD at the University of Connecticut. Michael's educational qualifications include Bachelor's degrees in Computer Engineering and Computational and Applied Mathematics from the University of Massachusetts Amherst.
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