Summary
Raffaello Baluyot is a Machine Learning Engineer with nine years of experience designing and shipping ML-driven tools across automotive, remote sensing, fintech, and security domains from Malmö, Sweden. He has a strong track record of turning research into production: building high-frequency log processing libraries and visualization tools for Volvo, embedded rider-behavior classifiers and data-collection SDKs for Autoliv, and production malware-detection pipelines at Trend Micro. Comfortable across the stack, he has developed Android SDKs, cloud GIS plugins, trading backtests, and ETL templates, and often delivers solutions that become company- or team-wide standards. Beyond engineering, he has taught advanced courses in neural networks, NLP, and image processing, and mentored research teams to multiply data collection efforts by 25x. Colleagues rely on him for pragmatic research translation—he blends rigorous academic training (MS Computer Engineering) with hands-on productization in safety- and performance-critical environments.
9 years of coding experience
8 years of employment as a software developer
High School/Secondary Diplomas and Certificates, High School/Secondary Diplomas and Certificates at St. Matthew College, San Mateo, Rizal
Master of Science (MS) Computer Engineering, Master of Science (MS) Computer Engineering at Mapúa University
English, Filipino, Japanese