Chengsi Zhang
About Chengsi Zhang
Chengsi Zhang is a Senior Software Engineer at Thomson Reuters in Toronto, Ontario, with a focus on GIS data management and analysis products. He holds a Master's degree in Computer Engineering from Memorial University of Newfoundland and has experience in various programming languages and software development tools.
Work at Thomson Reuters
Chengsi Zhang has been employed at Thomson Reuters as a Senior Software Engineer since 2021. Located in Toronto, Ontario, Canada, he has contributed to various software development projects during his tenure. His role involves leveraging his expertise in software engineering to enhance the company's technological offerings.
Previous Experience at Compusult Limited
Before joining Thomson Reuters, Chengsi Zhang worked at Compusult Limited as a Software Engineer from 2018 to 2021. During this time, he focused on developing software solutions and gained valuable experience in the field of software engineering while working in Mount Pearl, Newfoundland.
Education and Expertise
Chengsi Zhang earned a Master's degree in Computer Engineering from Memorial University of Newfoundland, where he studied from 2013 to 2016. His academic background provided a strong foundation in software development and engineering principles, which he has applied throughout his career.
Research Assistant Experience
Chengsi Zhang served as a Research Assistant at Memorial University of Newfoundland from 2015 to 2016. In this role, he contributed to various research projects, enhancing his skills in software development and analysis. This experience further solidified his technical capabilities in the field.
Technical Skills and Projects
Chengsi Zhang possesses a diverse skill set in software development, including proficiency in programming languages such as Java, Python, C/C++, JavaScript, C#, and XML. He has experience with server software like Apache and Nginx, as well as databases including SQL, Oracle, MySQL, and MongoDB. His work includes developing commercial-level autonomous GUV software and participating in large-scale data mining and search engine recommendation projects.