Summary
Snehesh Nag is a music technologist and Artist in Residence at The Music Center at Strathmore, blending eight years of research-grade machine learning experience with professional practice as a sitar player, songwriter, and teacher. Trained at Georgia Tech (M.S. in Music Technology) and with a B.Tech in Electronics and Instrumentation, he has translated signal-processing and ML techniques into audio-specific research—ranging from tabla stroke quality analysis with strong correlation to expert ratings to predictive models of psychophysiological states from neuroimaging. Comfortable writing production-ready Python for feature extraction and statistical modeling, he bridges creative practice and technical rigor to build sonically informed algorithms and tools. Based in Baltimore, he uniquely pairs stage performance and pedagogy with algorithmic development, often applying academic methods to real-world music and biometric datasets.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Music Technology, Master's degree, Music Technology at Georgia Institute of Technology
Bachelor of Technology - BTech, Electronics and Instrumentation Engineering, 7.75, Bachelor of Technology - BTech, Electronics and Instrumentation Engineering, 7.75 at Techno India Salt Lake