Shuguo Zhang

Shuguo Zhang

Software Engineer Manager @ TuSimple

About Shuguo Zhang

Shuguo Zhang is a Software Engineer Manager at TuSimple, where he has worked since 2021. With a strong background in software engineering and architecture, he has held various roles in notable companies and has a Master's degree in Information Systems from Northeastern University.

Work at TuSimple

Shuguo Zhang has been employed at TuSimple as a Software Engineer Manager since 2021. In this role, he oversees software engineering projects and manages a team of engineers. His responsibilities include leading the development of innovative solutions and ensuring the successful delivery of software products. Zhang's work at TuSimple focuses on enhancing the efficiency and reliability of software systems within the autonomous driving technology sector.

Previous Experience in Software Engineering

Before joining TuSimple, Shuguo Zhang worked at several notable companies in various software engineering roles. He was a Software Engineer at OOCL from 2007 to 2010 in Zhuhai, Guangdong, China. Following this, he served as a Software Engineer at Renren Inc from 2010 to 2012 in Beijing City, China. Zhang then advanced to the position of Senior Software Architect Engineer at Jianpu Technology, where he worked from 2012 to 2019, contributing to significant software architecture projects.

Education and Expertise

Shuguo Zhang holds a Master's degree in Information Systems from Northeastern University, which he completed from 2019 to 2020. He also earned a Bachelor's degree in Software Engineering from Xi'an Jiaotong University, studying from 2003 to 2007. His educational background provides a strong foundation in software development and system architecture, equipping him with the skills necessary for his roles in the technology sector.

Technical Achievements

Zhang has led and delivered several significant projects throughout his career. He developed the Task Dispatch Center, which manages manual tasks and integrates both synchronous and asynchronous processing using Kafka. He also improved the availability of a legacy platform, reducing daily bugs significantly. Additionally, he migrated the architecture of the Data Update Checker to AWS, achieving an 80% reduction in machine costs and enhancing response times. His work includes developing a customized workflow management solution and an observability system based on Prometheus and Grafana.

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