I’m fascinated by how any form of data, be it text, images, or sound, can be transformed into representations that machines can understand. What once began as abstract theories has steadily evolved into reality, powered by advances in computing and clever architectural design.
I’m driven by how different modalities can be encoded, aligned, and fused to model and make predictions of the world. I love exploring these architectures and using them creatively to build systems that serve a greater purpose where technology not only performs well but contributes meaningfully to people's lives. As an Associate AI Engineer at AI Singapore and a Computer Science graduate from NUS, I focus on bridging deep learning research with practical applications, transforming ideas into working systems that push the boundaries of how machines perceive and reason.