Summary
Rob Mulla is a Senior Developer Advocate Engineer with a decade of experience at the intersection of data science, machine learning, and power systems engineering. He has led data science teams and built production ML solutions across industries—from forecasting electric loads and supporting NFL digital athlete initiatives to oncology analytics and AI security tooling. A former H2O.ai Senior Principal and head of data science at Dreadnode, Rob blends research-grade predictive modeling with practical deployment skills including CI/CD, time-series systems, and visualization. His background in power engineering and HVDC analysis gives him a rare domain edge when applying ML to energy and infrastructure problems, and he pairs that with hands-on experience democratizing AI for practitioners. Based in Rockville, MD, he combines formal training from UC Berkeley and Kansas State with a track record of delivering impactful, production-ready analytics in regulated and high-stakes environments.
10 years of coding experience
20 years of employment as a software developer
Master’s Degree Information and Data Science, Master’s Degree Information and Data Science at University of California, Berkeley
BS Electrical Engineering Music Minor, BS Electrical Engineering Music Minor at Virginia Tech
Master of Science (MS) Power Engineering, Master of Science (MS) Power Engineering at Kansas State University
English, sql, python, r