Izzuddin Ahsanujunda is a Machine Learning Engineer with nine years of experience building data-driven products and production ML infrastructure, currently at Rakuten in Tokyo. He blends data science and full-stack development skills to translate business and marketing problems into statistically rigorous, scalable solutions—often running on Apache Spark and cloud platforms. At DANA he led efforts to standardize analytics practices, migrate Spark infrastructure to Alibaba Cloud, and design a unified deployment architecture that sped model releases and increased measurable business impact through causal inference and experimentation. His background in 3GPP telecom charging systems and an MSc in Software Engineering (Big Data) from Queen Mary give him both domain depth and strong engineering discipline. Colleagues describe him as a hobbyist programmer immersed in the Node.js ecosystem who brings practicality and engineering rigor to analytics adoption across product, risk, and compliance.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (BEng), Computer Engineering, Bachelor of Engineering (BEng), Computer Engineering at Universitas Indonesia (UI)
Master’s Degree, Software Engineering, Big Data, Master’s Degree, Software Engineering, Big Data at Queen Mary, U. of London
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.