My journey into AI began with a fascination for how machines could be taught to perceive the physical world. During my PhD, I developed fuzzy logic systems for camera calibration and image segmentation — work that led to patents and set the foundation for a career at the intersection of theory and hardware.
Over the years I have worked across academia, enterprise, and deep-tech — from MIMOS (Malaysia's national ICT research centre), where I built patented Intelligent Video Analytics systems, to medical device companies improving diagnostic accuracy through computer vision, to cutting-edge edge AI deployments on Hailo AI and Axelera Metis hardware today.
I speak at workshops and industry events, engage with investors in the computer vision space, and believe strongly that knowledge compounds fastest when shared. My GitHub, publications, and open projects reflect that commitment to the community.
Beyond the code, I am driven by a simple conviction: optimisation is the art of making systems work better without compromising quality — and that principle applies equally to neural networks, camera pipelines, and the teams that build them.