Mohammed Danish is an Acoustics Machine Learning Engineer at Apple, focusing on signal processing and machine learning techniques for data analysis, particularly in acoustics, audio, and music. They have a Master of Science in Electrical and Computer Engineering from Carnegie Mellon University and a Bachelor of Engineering from the Birla Institute of Technology and Science, Pilani. Their experience includes roles as a Graduate Teaching Assistant and Research Assistant at Carnegie Mellon, as well as internships at iZotope, Inc. and the Indira Gandhi Centre for Atomic Research. Danish has conducted research on nonlinear waveshaping and stable simulations of audio filter circuits.
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