Xu Guodong is a Senior Research Scientist based in Singapore with nine years of experience applying advanced deep learning and computer vision techniques to real-world embedded and camera systems. With a PhD-level mathematics background from NUS, he has a strong track record in model design, optimization and deployment—converting and quantizing networks for resource-constrained devices and implementing solutions on RK chips and Android. His work spans image restoration, face/body detection, anti-spoofing and LSTM-based time-series models, blending academic rigor (CVPR-level research) with production-focused engineering. Equally comfortable in TensorFlow, PyTorch and Keras, he brings hands-on expertise in model compression and cross-framework conversions that accelerate edge AI products. Not obvious from the title: he bridges theory and systems engineering, having turned research prototypes into optimized, deployed algorithms used by industry partners.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Applied Science - BASc, Applied Mathematics, GPA: 89.7/100 Rank: 3/90, Bachelor of Applied Science - BASc, Applied Mathematics, GPA: 89.7/100 Rank: 3/90 at Jilin University
Doctor of Philosophy - PhD, Applied Mathematics, GPA: 4.75/5, Doctor of Philosophy - PhD, Applied Mathematics, GPA: 4.75/5 at National University of Singapore
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Xu Guodong - Senior Research Scientist at NetVirta, Inc.