Summary
Everaldo Aguiar is a Director of Applied AI with 12 years of experience building and operationalizing machine learning systems that move from research to production at scale. Based in Seattle, he leads Applied AI at PagerDuty, overseeing Data Science Core and Machine Learning Engineering to deliver ML and Generative AI services that power automation, noise reduction, and observability. His background blends rigorous academic research—a PhD focused on predictive analytics in education—with hands-on production expertise in Kubernetes, microservices, and terabyte-scale training pipelines from roles at SAP Concur and Shopify. He also teaches data science at Northeastern University-Seattle, bringing practical, tool-driven instruction to graduate students. Notably, his early work on student early warning systems with the DSSG fellowship translated into deployed models used by large U.S. school districts, reflecting a career-long focus on high-impact, evaluated interventions.
12 years of coding experience
7 years of employment as a software developer
BS - Summa Cum Laude, Computer Science / Mathematics, BS - Summa Cum Laude, Computer Science / Mathematics at Midwestern State University
PhD, Computer Science and Engineering, PhD, Computer Science and Engineering at University of Notre Dame
English, Spanish, Portuguese