About me

I am currently employed as a Machine Learning Engineer at Shang Hai Sharetek (上海轩田科技), where my work primarily focuses on machine learning projects, particularly in Visual Anomaly and Novelty Detection (VAND) and Auto Optical Inspection (AOI) projects. My role involves leveraging machine learning techniques to enhance the efficiency and effectiveness of these projects.

In addition to my professional work, I am also pursuing a Ph.D. degree at Xi’an Jiaotong University, located in Xi’an, China. My research interests span a wide range of topics, including Artificial Intelligence Generated Content (AIGC), Generative Adversarial Networks (GAN), Reinforcement Learning, Robotic Learning, intelligent control technology, and robotics.

My academic journey started with a B.Eng. degree in electronic and information engineering, which I earned from the Hong Kong Polytechnic University in 2016. Subsequently, I pursued my M.S. degree in electrical and computer engineering at the National University of Singapore, graduating in 2018. From 2018 to 2021, I worked as a research engineer at the Agency for Science, Technology and Research in Singapore, where I gained valuable experience in the field.