Amruta Vidwans is a Machine Learning Engineer with 11 years of experience specializing in signal processing, audio analysis, and data-driven ML solutions. Currently at Spotify, she applies research-grade expertise to production audio problems, building on prior roles as an audio research scientist at Pindrop and a research specialist at UW–Madison. Her background blends rigorous academic training — M.Tech from IIT Bombay and Music Technology at Georgia Tech — with applied work on music performance assessment, genre classification, and voice detection. She has deep experience designing features, classification algorithms, and audio DSP systems, and has moved projects from database and research prototypes into deployable systems. Based in Madison, WI, she brings a rare combination of music-domain intuition and engineering discipline to tackle perceptual and security-sensitive audio challenges. Colleagues value her ability to translate nuanced signal insights into scalable, production-ready models.
10 years of coding experience
9 years of employment as a software developer
Indian Institute of Technology Bombay
Master’s Degree, Music Technology, Master’s Degree, Music Technology at Georgia Institute of Technology
Bachelor of Engineering (B.E.), Electrical and Electronics Engineering, First Class with Distinction, Bachelor of Engineering (B.E.), Electrical and Electronics Engineering, First Class with Distinction at University of Mumbai
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Amruta Vidwans - Machine Learning Engineer at Spotify