Peter Rasmussen is a Principal AI Engineer with 11 years of experience applying machine learning and quantitative analysis to high-impact problems across government, media, consulting, and research organizations. He blends deep academic training—master’s degrees in AI and in industrial engineering/operations research—with hands-on data science, simulation, and econometric modeling to move projects from ideation to production. Peter has led cross-functional teams to build polling pipelines, hierarchical clustering of personality data, Bayesian time-series pricing models, and discrete-event simulations for federal clients. He is driven by solving unstructured problems and has a track record of influencing executive decisions through rigorous modeling that yielded multimillion-dollar business impacts. Based in Baltimore, he pairs product-minded engineering with domain breadth from satellite-imagery GDP estimation to fiber-infrastructure mapping, bringing both strategic perspective and pragmatic delivery. An underrated strength is his ability to translate complex quantitative work into actionable recommendations that change policy and pricing.
11 years of coding experience
15 years of employment as a software developer
Master's Industrial Engineering and Operations Research, Master's Industrial Engineering and Operations Research at University of Massachusetts Amherst
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at Johns Hopkins Whiting School of Engineering
Bachelor's Chemical Engineering, Bachelor's Chemical Engineering at University of Iowa
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.
Request Free Trial
Peter Rasmussen - Principal AI Engineer at Baltimore Banner