Yuanyuan (Jane) Shen, PhD has a diverse range of work experience. Yuanyuan (Jane) is currently working at Ambit as an AI/Machine Learning Engineer, where they lead and conducts R&D work on cutting-edge GPT models for building the next generation of the platform. Previously, they worked as a Full Stack Engineer at Ambit, where they developed new features and solved technical issues on the current software platform.
Prior to their role at Ambit, Yuanyuan worked at Auckland University of Technology as a Research Assistant, where they developed machine learning-based computational models for personalized classification and prediction of an individual's response to tinnitus therapies. Yuanyuan (Jane) also worked as a Peer Tutor at the university.
Additionally, Yuanyuan has experience as a Peer Mentor and Teaching Assistant at Auckland University of Technology, where they supervised Bachelor's students, provided support for assignments, and covered lectures when necessary.
Earlier in their career, Yuanyuan worked as a Customer Quality Engineer at Bosch Automotive Products, where they ensured product quality and improvement. Yuanyuan (Jane) also worked as a Project Engineer at Curative Medical Technology, where they conducted new product development and worked with departments to address issues.
Overall, Yuanyuan Shen has a strong background in AI/Machine Learning, software development, research, and quality assurance.
Yuanyuan (Jane) Shen, PhD has a strong educational background with a focus on speech signal processing and engineering. Yuanyuan (Jane) obtained their Doctor of Philosophy (PhD) degree from Auckland University of Technology, New Zealand, between 2017 and 2022. Prior to that, they earned a Master's degree in Speech Signal Processing from Soochow University, China, from 2008 to 2011. Yuanyuan (Jane) also received a Bachelor's degree in Engineering from Soochow University from 2004 to 2008. Additionally, Shen has a certification in Google Analytics from Google, although the specific date of obtaining the certification is unknown at this time.
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