Peter Ott is a Data Scientist who specializes in researching, building, deploying, and optimizing deep learning solutions for various applications such as NLP, data aggregation, and prediction. With a background in Machine Learning Engineering and Software Engineering, Peter has experience in developing custom neural network architectures and machine learning-powered solutions. Peter holds a Master's degree in Computer Science from George Mason University.
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