Reginald Argamosa

Reginald Argamosa is an experienced professional specializing in remote sensing, machine learning, and environmental assessments. With a background that includes roles at the University of the Philippines Diliman as a Supervising Science Research Specialist and various machine learning positions focused on applications in water quality monitoring and urban heat assessments, Reginald has developed methodologies to enhance the understanding of environmental systems. Notable contributions include the PHIL LiDAR 2 project for forest resource extraction and the IAMBlueCECAM program on blue carbon ecosystems. Reginald has also served as a consultant for the Department of Environment and Natural Resources, creating automated systems for tree cover modeling, and currently works as an AI Engineer at Accenture, utilizing multi-cloud services for machine learning model management. Educational credentials include a Master's degree and a Bachelor's degree, both from the University of the Philippines.