Xiao Ching Yong
About Xiao Ching Yong
Xiao Ching Yong is a Software Engineer currently employed at Daxko, where he has worked since 2022. He previously held various roles, including International Peer Advising Coordinator and HuskyTech Specialist at St. Cloud State University, and Homestay Operator at Airbnb in Kuala Lumpur.
Work at DAXKO
Xiao Ching Yong has been employed at DAXKO as a Software Engineer since 2022. In this role, he utilizes Docker and Amazon Web Services to create virtualized environments. He is involved in software engineering projects that employ Kanban and Agile development methodologies, including practices such as pair programming and retrospectives. His contributions focus on improving application performance by ensuring thorough testing of features prior to their rollout.
Previous Experience at St. Cloud State University
Prior to joining DAXKO, Xiao Ching Yong worked at St. Cloud State University in two capacities. He served as an International Peer Advising Coordinator from 2020 to 2022, where he supported international students. Additionally, he worked as a HuskyTech Specialist for one year, from 2020 to 2021, providing technical support and assistance to students and faculty.
Experience at Airbnb
Xiao Ching Yong worked as a Homestay Operator at Airbnb from 2019 to 2020 in Kuala Lumpur, Malaysia. In this position, he managed homestay operations, ensuring a positive experience for guests and hosts. This role contributed to his understanding of customer service and operational management in the hospitality sector.
Education and Expertise
Xiao Ching Yong holds two Bachelor's degrees in Psychology. He studied at HELP University from 2017 to 2019 and later at St. Cloud State University from 2020 to 2021. His educational background in psychology complements his technical skills, providing a unique perspective in his software engineering role.
Technical Skills and Tools
In his current role, Xiao Ching Yong employs various technical tools and methodologies. He uses GitLab and Jira for managing continuous integration and continuous deployment pipelines. His expertise in Docker and Amazon Web Services enhances his ability to work with virtualized environments, contributing to efficient software development and deployment processes.