Jiading Zhu
About Jiading Zhu
Jiading Zhu is a Machine Learning Software Developer at Primate Labs Inc. in Toronto, Ontario, Canada, where he has worked since 2021. He has a background in research and software development, with previous roles at the University of Toronto and various tech companies.
Work at Primate Labs
Jiading Zhu has been employed at Primate Labs Inc. as a Machine Learning Software Developer since 2021. In this role, he has contributed to the development of machine learning models that are integral to the company's benchmarking software. He participated in a collaborative project focused on integrating AI solutions into existing software platforms, enhancing the functionality and performance of the company's products.
Education and Expertise
Jiading Zhu earned a Bachelor of Applied Science (B.A.Sc.) in Engineering Science with a specialization in Machine Intelligence from the University of Toronto. His education spanned from 2015 to 2020, equipping him with a solid foundation in engineering principles and machine learning techniques. He continues to engage in professional development through online courses and workshops in AI and machine learning.
Background
Before joining Primate Labs, Jiading Zhu held several research and engineering positions. He worked as a Research Assistant at the University of Toronto in the Intelligent Adaptive Interventions (IAI) Lab and the Dynamic Optimization & Operations Management Lab. Additionally, he served as a Machine Learning Engineer at North York General Hospital, focusing on surge prediction. His experience also includes a role as a Software Engineering Intern at Rambus and as a Full Stack Developer Intern at Connected Vehicles and Smart Transportation.
Previous Experience
Jiading Zhu's previous roles include working as a Research Assistant at Technische Universität Darmstadt for three months in 2019. He also gained experience as a Software Engineering Intern at Rambus from 2018 to 2019, where he was part of the Digital Design Team. His internship at Connected Vehicles and Smart Transportation in 2016 provided him with full-stack development experience, contributing to his diverse skill set in software development and machine learning.