Ming Sian Tu
About Ming Sian Tu
Ming Sian Tu is a Senior Software Engineer at Vpon Big Data Group, where he has worked since 2019. He has extensive experience in software engineering, particularly in enhancing data processing and audience targeting features using various technologies.
Work at Vpon Big Data Group
Ming Sian Tu has been employed at Vpon Big Data Group since 2019, currently holding the position of Senior Software Engineer. Prior to this role, he worked as a Software Engineer at the same company from 2015 to 2019, accumulating a total of over five years of experience within the organization. During his tenure, he designed and implemented an Audience Profile Service and ETLs to enhance the audience targeting features of the DSP platform. He also refactored the DSP platform data pipeline, which improved system stability and doubled capacity.
Education and Expertise
Ming Sian Tu has a strong educational background in engineering and software development. He earned a Master's degree in Communications Engineering from National Chung Cheng University, completing his studies from 2013 to 2015. He also holds a Bachelor of Engineering (BEng) in Communications Engineering from the same university, which he completed from 2008 to 2012. Additionally, he studied at Free Code Camp, where he achieved a Certificate in Full Stack Web Development from 2015 to 2016.
Background
Ming Sian Tu has diverse work experience in software engineering. He worked as an Exchange Student at SUNY Oneonta for four months in 2014, gaining international exposure. His professional journey at Vpon Big Data Group began in 2015, where he progressed from a Software Engineer to a Senior Software Engineer. His roles have involved significant contributions to the development and optimization of data processing systems.
Technical Contributions
Throughout his career, Ming Sian Tu has made notable technical contributions. He collaborated on the design and implementation of a payment rule component that provided near real-time profit share information. This project utilized technologies such as Python, Scala, and the Rete algorithm. He also surveyed and set up Airflow infrastructures to improve ETL management, demonstrating his expertise in data engineering and workflow optimization.