Jing Zhi is a Deep Learning Engineer at Skymind Malaysia and postgraduate student at Universiti Sains Malaysia, where he develops lightweight deep-learning models for processing sensor data. At Skymind, Jing Zhi designs use cases for computer vision and sensor data applications using deep learning algorithms, and engages in training and advocacy efforts for the Malaysian deep learning community across academia and industry.
Jing Zhi is currently pursuing his Master's degree in Computer Science, where he developed a lightweight Deep Learning model for edge devices as a solution to Human Activity Recognition. Prior to joining Skymind, he was a Process Engineer at Lumileds, where he developed and used computer vision for automated product quality inspection.
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