auve is a 30-minute audiovisual work in which one person performs everything from visuals to music by analyzing images and converting them into sound. Drawing on over a decade of experience in live visual production, it analyzes visuals in real time and transforms the rapidly shifting motion of the imagery into sound through a variety of pixel analysis techniques. In doing so, it reveals the rhythm and tempo hidden within the visuals, creating an integrated audiovisual expression in which the images on screen and the sound are perfectly synchronized.

Archive-style installation work that uses machine learning to recognize people passing in front of the screen, label them, and record them. It was created with the aim of documenting congestion as a phenomenon unique to the modern age. At DesignUP India, held in Bangalore, India, it was exhibited on a 20m x 2m LED screen. Made with vvvv https://visualprogramming.net/