Chia Yu Hung
About Chia Yu Hung
Chia Yu Hung is a Senior Software Development Engineer at ASUS, specializing in Kubernetes and AI solutions. He has contributed to various projects, including a Kubernetes client library and an AI training platform for National Taiwan University Hospital.
Work at ASUS
Chia Yu Hung has been employed at 華碩電腦股份有限公司 (ASUS) as a Senior Software Development Engineer since 2019. In this role, he has contributed to various projects, including the development of a Kubernetes client library in TypeScript, which allows services to utilize Kubernetes resources in JavaScript projects. Prior to his current position, he worked as a Software Developer at ASUS from 2016 to 2019, where he gained experience in software development and engineering.
Education and Expertise
Chia Yu Hung holds a Master's degree in Information Engineering from National Taipei University of Technology, where he studied from 2014 to 2016. He also earned a Bachelor's degree in Information Engineering from Chung Yuan Christian University, attending from 2010 to 2014. His academic background has provided him with a solid foundation in software development and engineering principles.
Background
Chia Yu Hung is based in Taipei City, Taiwan. His professional journey in software development began with his education in Information Engineering, which he pursued at two prominent universities in Taiwan. His career at ASUS has allowed him to work on significant projects that leverage cloud technology and artificial intelligence.
Achievements
Chia Yu Hung has developed a log service for ASUS's private cloud by implementing the ELK architecture on Kubernetes. He also built a private cloud AI training solution for National Taiwan University Hospital (NTUH). His contributions to the Taiwan Computing Cloud (TWCC) include the development of the OneAI product and collaboration with vendors to create the AI training platform AI-Maker, which encompasses SmartML training and AI model management.
Technical Contributions
Chia Yu Hung has made significant contributions to open source projects, notably by extending the postman-to-openapi tool to enhance development efficiency for the infrastructure team. He has also refactored the TWCC portal using a Vue.js codebase and developed a common UI library to address issues related to duplicate UI components. His expertise in technical architecture design has been instrumental in simplifying the AI training lifecycle.