Kaiyu Shi

Software Engineer @ Keap

About Kaiyu Shi

Kaiyu Shi is a software engineer with extensive experience in the technology sector, having worked at companies such as Garmin International and Honeywell Process Solutions. He holds a Bachelor's degree in Computer Science from Tsinghua University and a Master's degree in Computer Science from Arizona State University.

Work at Keap

Kaiyu Shi has been employed at Keap since 2017, where he serves as a Software Engineer. His role involves developing software solutions that enhance the functionality and user experience of Keap's products. With over seven years of experience at the company, he contributes to various projects aimed at improving customer relationship management and automation tools.

Previous Experience at Garmin International

Before joining Keap, Kaiyu Shi worked at Garmin International as a Senior Software Engineer from 2012 to 2014. During his two-year tenure in Chandler, AZ, he focused on software development projects that supported Garmin's navigation and communication technologies.

Previous Experience at Honeywell Process Solutions

Kaiyu Shi has extensive experience from his time at Honeywell Process Solutions, where he worked as a Software Engineer for 15 years, from 1997 to 2012. His long-term involvement in this role contributed to various software initiatives within the company, enhancing process automation and control systems.

Education and Expertise

Kaiyu Shi holds a Bachelor's degree in Computer Science from Tsinghua University. He furthered his education by obtaining a Master's degree in Computer Science from Arizona State University. His academic background provides a strong foundation for his work in software engineering, equipping him with the necessary skills and knowledge to excel in the technology sector.

High School Education

Kaiyu Shi completed his high school education at the High School Attached to Renmin University of China. This institution is known for its rigorous academic standards and has contributed to his foundational knowledge in the field of science and technology.

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