Summary
Poo Hoong is a data engineering and analytics leader with over a decade of industry experience and a 15-year academic and research background in distributed systems and high performance computing. Currently Section Lead for Data Analytics - Data Engineering at Roche, he has led data science and strategy teams across enterprises including BAT, Nielsen and startups, bridging research-grade algorithms with production data platforms. He holds a PhD in Distributed Systems and applies formal theories—graph theory, optimization and network coding—to practical problems in big data, ML and P2P networks. Known for driving end-to-end delivery, he combines hands-on engineering with mentoring and curriculum advisory work for university data science programs. An active community contributor recognized as a GDE in AI and AWS Community Builder in ML, he brings both technical depth and ecosystem influence. Based in Kuala Lumpur, he thrives on translating complex performance models into scalable, production-ready solutions.
11 years of coding experience
23 years of employment as a software developer
Ph.D Distributed System, Ph.D Distributed System at Nagoya Institute of Technology 名古屋工業大学
Master in IT Multimedia, Master in IT Multimedia at Universiti Kebangsaan Malaysia
Cochrane Road School
English, Chinese, Japanese