Summary
Paul Russum is a Senior Machine Learning Engineer with 9 years of experience delivering scalable analytics and ML solutions across Healthcare, Logistics, Financial Services, and Education. He is currently a Senior Machine Learning Engineer at Thrive Global, where he builds production-grade data pipelines and ML systems and champions data-driven decision making. Previously, he led data architecture and ETL initiatives at Northwestern Medicine, implementing Agile, CI/CD, and a reusable ETL framework that scaled across multiple hospitals. Paul combines strong data modeling, DevOps practices, and clear technical documentation to translate business challenges into maintainable solutions. He is based in West Rutland, Vermont, and is pursuing an MS in Applied Mathematics at DePaul University to deepen his mathematical foundations for advanced analytics.
10 years of coding experience
10 years of employment as a software developer
Master's degree Applied Mathematics, Master's degree Applied Mathematics at DePaul University
Pre-Graduate Studies, Mathematics, Pre-Graduate Studies, Mathematics at Northwestern University
BBA, Accounting, Management Information System, BBA, Accounting, Management Information System at University of Iowa - Henry B. Tippie College of Business