Summary
Richard Massey is a Machine Learning Engineer specializing in remote sensing and geospatial data with nine years of experience applying multi-platform satellite data to large-scale climate change and food security projects. He combines advanced machine learning, image processing, and data fusion skills with expertise in high-performance and scalable computing to move research-grade workflows into production. Trained at IIT Bombay (B.Tech, M.Tech) and holding a Ph.D. from Northern Arizona University, he bridges rigorous academic methods with practical system design. Based in Ogden, Utah, he has a strong focus on reproducible geospatial science and operational analytics rather than purely experimental ML. He often tackles heterogeneous data integration challenges that unlock new insights from disparate satellite sensors. Colleagues rely on him for turning complex Earth-observation problems into efficient, production-ready solutions.
9 years of coding experience
Indian Institute of Technology Bombay
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Northern Arizona University
French, English, Hindi