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Sheng-Yuan Wang has worked for Gogolook Co., Ltd since 2017. Sheng-Yuan started as an Engineer in December 2017 and then became a Senior Engineer in January 2020. At Gogolook, Wang's roles and responsibilities are not specified.

Prior to joining Gogolook, Wang worked at the Institute for Information Industry starting in November 2014. Sheng-Yuan held the role of Software Engineer and their main focus was on researching Deep Learning applications and developing Android APPs and SDKs. Some of their notable projects at the Institute for Information Industry include working on a smart camera system where they researched deep learning solutions for pedestrian attribute analysis, developed pedestrian re-identification, and integrated system modules. Sheng-Yuan also worked on refactoring the architecture of the Formosa Television Online Android App.

It is important to note that Wang's roles and responsibilities at the Institute for Information Industry ended in December 2017, and no information about their current roles and responsibilities at Gogolook is provided.

Sheng-Yuan Wang earned a Master's Degree in Computer Science and Information Engineering from National Taipei University, completing the program from 2012 to 2014. Prior to that, they obtained a Bachelor's Degree in the same field from National Formosa University, where they studied from 2008 to 2012.

Additionally, Sheng-Yuan Wang has acquired several certifications related to machine learning. Sheng-Yuan completed courses such as "Feature Engineering," "Launching into Machine Learning," and "How Google does Machine Learning" through Coursera, obtaining these certifications in September and August of 2019. Sheng-Yuan also accomplished certifications in "Convolutional Neural Networks," "Deep Learning Specialization," "Sequence Models," "Structuring Machine Learning Projects," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," and "Neural Networks and Deep Learning" from Coursera, completing these in 2018.