Xun Long Ng

AI researcher with 4+ years of experience developing cutting-edge computer vision systems and large-scale datasets for real-world applications. Led teams of 15-23 annotators to create two landmark datasets (Chaotic World - ICCV 2023, Animal Kingdom - CVPR 2022) with 100+ combined citations. Pioneered novel deep learning architectures (IntelliCare, CARe) that advance state-of-the-art in spatiotemporal action recognition and cross-domain generalization. Proven ability to secure funding, manage complex annotation pipelines, and translate research into conservation tech and public safety applications. Passionate about mentoring junior researchers and bridging the gap between AI innovation and social impact.