I hold a Bachelor of Sciences in Computer Science from Stanford University, where I focused on the Artificial Intelligence Concentration track with Professor John Ousterhout as my advisor. While at Stanford, I was introduced to computer generated sounds and synthesis at the Center for Computer Research in Music and Acoustics (CCRMA), via the Laptop Orchestra Ensemble led by Ge Wang and Max Wright. At CCRMA, I became acquainted with the strongly typed audio programming language ChucK, Max MSP, OSC, Supercollider, Music Information Retrieval, Neural Nets for Composition, and all things audio.

I have been trained in Indian Classical Music - the traditional music of North India -  since the age of 7. I have studied at the Prayag Sangeet Samiti in Allahabad (India), Ravi Shankar School of Music (India) as a part of The Mozart Choir of India, and currently study instrumental and voice at the Ali Akbar College of Music. I also learn Dhrupad Gayaki.
I regularly perform my work in public in spaces all over the world, and have previously performed at the Hollywood Bowl in Los Angeles,  Elbphilharmonie in Hamburg, Le Guess Who in Utrecht, Mutek, Bemis Center for Contemporary Arts, Magnetic Fields in India.

My studio work focuses on extending Indian Classical music beyond the scope of acoustic instrumentation by utlizing voltage based musical interfaces. I primarily work with modular synthesizers and digital tools I build that interface with them.

I also work in online radio at NTS Radio and Boxout.fm, with a focus on spreading awareness of Indian Classical artforms of sound and dance.