Wanqi Yang
About Wanqi Yang
Wanqi Yang is a Machine Learning Engineer at DJI, where he has worked since 2023. He holds a Master's degree in Computational Engineering from Technische Universität Darmstadt and has previous experience in software development and data processing.
Work at DJI
Wanqi Yang has been employed at DJI as a Machine Learning Engineer since 2023. In this role, he works on-site in Shenzhen, Guangdong, China. His responsibilities include developing and implementing machine learning algorithms to enhance DJI's technology offerings. Prior to his current position, he served as a Software Development Engineer (SDE) Intern at DJI for seven months in 2022, where he gained valuable experience in software development and machine learning applications.
Education and Expertise
Wanqi Yang holds a Master's degree in Computational Engineering from Technische Universität Darmstadt, where he studied from 2020 to 2023. He also earned a Bachelor's degree in Mechanical Engineering from Beijing Jiaotong University, completing his studies from 2015 to 2019. Additionally, he participated in a Deutschkurs at the University of Duisburg-Essen from 2019 to 2020, which further developed his language skills.
Background
Wanqi Yang has a diverse background in engineering and machine learning. He worked as a HiWi (student assistant) at Technische Universität Darmstadt for four months from 2021 to 2022, contributing to academic projects. Prior to that, he gained experience as a German Data Processing Intern at iFLYTEK Co., Ltd. in 2020, where he focused on data processing tasks. His international experience includes studying in Germany and working in various engineering roles.
Internship Experience
Wanqi Yang has completed several internships that have contributed to his professional development. His role as a German Data Processing Intern at iFLYTEK Co., Ltd. in 2020 involved working on data processing projects. Additionally, his internship at DJI as an SDE Intern in 2022 allowed him to apply his skills in software development and machine learning in a practical setting. His experience as a HiWi at Technische Universität Darmstadt also provided him with insights into academic research and engineering practices.