Xiaochuan Yin
About Xiaochuan Yin
Xiaochuan Yin is a Machine Learning Engineer currently employed at DJI since 2020. He holds a Ph.D. in Artificial Intelligence and has extensive experience in research and engineering roles at various technology companies.
Current Role at DJI
Xiaochuan Yin has been employed at DJI as a Machine Learning Engineer since 2020. In this role, he focuses on developing and implementing machine learning algorithms to enhance the company's drone technology and automation systems. His work contributes to DJI's reputation as a leader in the drone industry, particularly in areas related to artificial intelligence and robotics.
Previous Experience in Machine Learning and Robotics
Prior to his current position, Xiaochuan Yin gained valuable experience through various internships and roles. He worked at Horizon Robotics as a Research Intern for six months in 2017, where he contributed to projects in Beijing. Additionally, he interned at Bytedance Inc. for one month in 2017 and at Baidu, Inc. for five months from 2017 to 2018, both in Beijing and Shanghai, respectively. He also served as an Algorithm Engineer at Momenta.ai for 11 months from 2018 to 2019.
Educational Background in Engineering and AI
Xiaochuan Yin holds a Doctor of Philosophy (Ph.D.) in Artificial Intelligence from Tongji University, which he completed from 2012 to 2018. Prior to this, he earned a Master's degree in Mechatronics, Robotics, and Automation Engineering from the same university from 2009 to 2012. He also obtained a Bachelor's degree in the same field from 2005 to 2009. This educational foundation has equipped him with a strong understanding of both theoretical and practical aspects of engineering and machine learning.
Internship Experience in Automotive and Robotics
In addition to his roles in machine learning and artificial intelligence, Xiaochuan Yin has interned in the automotive sector. He worked as an intern at BMW Brilliance Automotive for one month in 2016 in Shanghai. This experience, along with his internships at various technology companies, has provided him with a diverse skill set applicable to both robotics and automotive engineering.