Gabriel Yin

VP Of Sales, Greater China at Arteris

Gabriel Yin has a wealth of experience in the technology industry, with a focus on sales and management roles. Gabriel currently serves as the VP of Sales, Greater China at Arteris IP, a position they have held since October 2021. Prior to this, Gabriel worked at Arteris IP as the Country Manager from March 2018 to October 2021. Before joining Arteris IP, Gabriel was the VP at Dodsun starting in February 2014. Gabriel joined Synopsys in March 2008 and held the positions of Product Solution Sales Manager from March 2010 to January 2014 and Senior Account Manager from March 2008 to March 2010. Gabriel's career began at KLA-Tencor in 1999, where they served as a Senior Applications Engineer until 2003 and then transitioned into the role of Account Manager until 2006. Throughout their career, Gabriel has demonstrated expertise in sales, leadership, and technology solutions.

Gabriel Yin has a strong academic background in Chemical Engineering. Gabriel completed their Bachelor of Science (B.S.) degree in Chemical Engineering from the University of California, Los Angeles from 1994 to 1997. Gabriel further pursued their education in the same field and obtained a Master of Science (M.S.) degree in Chemical Engineering from Stanford University in 1998-1999.

In addition to their formal education, Gabriel Yin has also obtained several certifications in the field of Machine Learning and Artificial Intelligence. Gabriel completed a range of courses on Coursera, including "Deep Learning Specialization," "Sequence Models," "Convolutional Neural Networks," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Structuring Machine Learning Projects," and "Neural Networks and Deep Learning." These certifications were obtained between 2017 and 2019.

Based on the available information, Gabriel Yin's education and certifications suggest a strong foundation in Chemical Engineering, complemented by a significant focus on expanding their knowledge and skills in the field of Machine Learning and Artificial Intelligence.

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