Zi Wang
About Zi Wang
Zi Wang is a Technical Project Manager at TuSimple, where he has led the execution of a labeling service and supported an annotation service using various data tools. He holds a Master of Science in Business Intelligence and Analytics from Stevens Institute of Technology and has extensive experience in project management and data engineering.
Work at TuSimple
Zi Wang has been employed at TuSimple as a Technical Project Manager since 2022. In this role, he has driven the execution of a labeling service by utilizing operational data for decision-making. He employs various tools, including Python, SQL, and JIRA, while managing three large-scale databases. His responsibilities also include supporting an annotation service that utilizes Airflow, MongoDB, PostgreSQL, and Looker Analysis. He collaborates with a team of over 50 data and software development engineers to enhance project outcomes.
Education and Expertise
Zi Wang holds a Master of Science degree in Business Intelligence & Analytics from Stevens Institute of Technology, which he completed from 2019 to 2021. He also earned a Bachelor's degree in Electrical and Electronics Engineering from Beijing University of Chemical Technology, studying from 2008 to 2012. His educational background provides him with a solid foundation in data analysis and engineering, which he applies in his current role.
Background
Before joining TuSimple, Zi Wang worked as a Data Engineer Intern at Microsoft from 2021 to 2022. His internship involved gathering requirements with technical leads and project managers in a cross-functional team, focusing on areas such as image perception and lidar. Prior to that, he served as a Graduate Assistant at Stevens Institute of Technology from 2019 to 2021 and as a Project Manager at ITR in Beijing from 2014 to 2018.
Achievements
During his career, Zi Wang has identified process inefficiencies and improved workflows, resulting in a 50% increase in deliverables over a three-month period. He has designed annotation ontology in collaboration with engineers, focusing on precision and recall implications. Additionally, he achieved a 95% milestone completion rate by managing timelines and tracking progress across multiple projects. His role as a Scrum Master involved setting up Agile Sprints, which contributed to an 85% service availability rate.