Summary
Purnima Kamath is a postdoctoral researcher and generative audio AI specialist with a PhD from the National University of Singapore and current affiliation with NYU MARL. She blends deep learning and HCI expertise to design controllable text-to-audio and audio texture morphing models, with multiple first-author publications in IEEE TASLP, CHI and ICASSP. Before academia she spent over 15 years building distributed, enterprise-grade systems and leading engineering teams in finance, bringing rigorous production experience to research translation. A co-founder of Women Who Code Singapore, she also actively builds industry-academic partnerships and developer communities to promote diversity and collaboration. Less obvious: she pairs hands-on model development (PyTorch, Librosa) with middle-tier and infra skills (Spring, Kafka, Docker), enabling end-to-end prototyping from research code to deployed demos.
9 years of coding experience
17 years of employment as a software developer
Bachelors in Engineering Electronics & Telecommunication, Bachelors in Engineering Electronics & Telecommunication at Savitribai Phule Pune University
Doctor of Philosophy - PhD Generative Audio AI | Deep Learning | Human Computer Interaction, Doctor of Philosophy - PhD Generative Audio AI | Deep Learning | Human Computer Interaction at National University of Singapore
English, Hindi