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Zheng Yuan
Principal Member Of Technical Staff at Salesforce with extensive experience in deep learning and AI
Zheng Yuan is a Principal Member of Technical Staff at Salesforce, where he has been employed since January 2019. He specializes in computer vision and natural language processing (NLP) as part of the Salesforce Einstein AI team. With over ten years of research and development experience, Zheng has a strong background in deep learning technologies, having previously worked as a Deep Learning Software Engineer at NVIDIA and as a Senior Research Scientist at Realtek Semiconductor Corp.
Education and Qualifications
Zheng holds a PhD in Electrical and Computer Engineering from the University of Florida, as well as a Master’s degree in Electrical Engineering from Shanghai Jiao Tong University and a Bachelor’s degree in the same field from Jilin University. His educational background is complemented by various certifications in machine learning and artificial intelligence from prestigious institutions, including Stanford University.
Professional Experience
- Salesforce (2019 - Present): Principal Member of Technical Staff, focusing on AI technologies.
- NVIDIA (2017 - 2019): Developed deep learning technologies for cloud media and gaming products.
- Realtek Semiconductor Corp. (2013 - 2016): Worked on convolutional neural networks for visual recognition.
- Intel Corporation (2006 - 2007): Software Engineering Intern, focusing on testing and verification of libraries.
Skills and Expertise
Zheng is proficient in implementing deep learning algorithms and has hands-on experience with frameworks like CAFFE. His work involves various applications in image and video segmentation, visual classification, and image captioning.
Languages
He is fluent in English and Chinese and has elementary proficiency in Japanese.
Zheng Yuan's extensive experience and educational background make him a significant contributor to advancements in AI and machine learning at Salesforce.12