Jingzhi Ye
About Jingzhi Ye
Jingzhi Ye is a Machine Learning Engineer with a Master's degree in Computer Science from Delft University of Technology. He has worked at Scandit for five years, focusing on machine learning applications in computer vision.
Work at Scandit
Jingzhi Ye has been employed at Scandit as a Machine Learning Engineer since 2019. In this role, he focuses on leveraging machine learning techniques to enhance computer vision applications. His work contributes to the development of innovative solutions that integrate advanced machine learning algorithms with practical applications in the field of computer vision. He is based in the Tampere Area, Finland.
Education and Expertise
Jingzhi Ye holds a Master's degree in Computer Science with a specialization in Digital Media Technology from Delft University of Technology, which he completed in 2018. He also earned a Master's degree in ICT Innovation, specifically in Digital Media Technology, from KTH Royal Institute of Technology in 2019. Prior to this, he obtained a Bachelor of Engineering in Electronic Science & Engineering from Southeast University in 2017. His educational background provides a solid foundation in both theoretical and practical aspects of machine learning and computer vision.
Background
Jingzhi Ye's academic journey began at Southeast University, where he studied Electronic Science & Engineering from 2013 to 2017. He then pursued further studies at Delft University of Technology and KTH Royal Institute of Technology, focusing on digital media technology and ICT innovation. Before joining Scandit, he worked as a Thesis Worker at Sony Mobile Communications for six months in 2019, where he gained practical experience in the tech industry.
Projects and Interests
Jingzhi Ye has been involved in various projects that utilize machine learning to enhance computer vision applications. He has a strong interest in exploring the intersection of computer vision and machine learning, particularly in innovative programming techniques. His work reflects a commitment to advancing the capabilities of machine learning in real-world applications.
Technical Skills
Jingzhi Ye possesses a deep understanding of programming techniques related to machine learning and computer vision. He refers to these as 'black magics,' indicating a high level of expertise in complex algorithms and their applications. His technical skills enable him to tackle challenging problems in the field and contribute effectively to his projects.