Qi (Jason) Zhu

Qi (Jason) Zhu has a strong background in research and engineering, primarily in the field of machine learning. From November 2022, they have been working as a Machine Learning Research Engineer at Machine Discovery. In their previous role at Aibee inc., where they worked from July 2019 to July 2021, they conducted research on detection, re-identification, and keypoint detection, implementing models using PyTorch and TensorFlow. Qi (Jason) also collected and filtered large sets of mask images from various sources. Prior to that, from December 2017 to April 2019, they worked as a Research Engineer at Aibee inc., researching multi-object tracking and developing tracking algorithms for customers such as Chow Tai Fook stores and Wanda shopping malls. Additionally, they developed web-based labelling tools and deployed cloud services for labelling teams.

Qi (Jason) Zhu began their education in 2012, earning a Bachelor of Science (BS) degree in Computer Science and Technology from Beijing Institute of Technology in 2016. Qi (Jason) continued their studies at the same institution and obtained a Master of Science (MS) degree in Computer Science and Technology in 2019.

In 2021, Qi enrolled at Queen Mary University of London and pursued a Master of Science (MS) degree in Artificial Intelligence, specializing in MSc FT Artificial Intelligence. During this period, they gained practical experience through an internship at Bright Network, specifically in technology, in July 2021.

Overall, Qi’s education history showcases their dedication to computer science and technology, with a particular focus on artificial intelligence.