Zelong (Zane) Jiang

Zelong (Zane) Jiang has a diverse work experience. In 2019, they worked as a Research Intern at Lenovo, a role they held until early 2020. Later that year, they joined MEGVII as a Research Intern for a few months. In 2020, Zane worked as a Machine Learning Engineer at Meituan, where they led the Meituan Short Video project and upgraded prediction models, increasing transactions by 2.73%. In 2022, they became a Research Intern at Tencent America, and in 2023, they joined Sonatus as a Software Engineer.

Zelong (Zane) Jiang completed their Bachelor's Degree in Data Science at Peking University. Zelong (Zane) then pursued further education by enrolling in the University of Michigan, where they obtained a Master's Degree in Data Science from 2021 to 2022. Alongside their formal education, Zane also obtained additional certifications in various subjects. In September 2022, they completed the "Learning Kubernetes" certification from LinkedIn, and in April 2022, they obtained the "Distributed Systems & Cloud Computing with Java" certification from Udemy.