Summary
Jordan Trinka is an AI Engineer with a decade of professional experience and four years focused on building production-ready, AI-powered solutions. Holding a PhD in Computational Mathematical and Statistical Sciences from Marquette University, Jordan blends deep theoretical grounding with hands-on roles across national labs and defense consulting, most recently at Booz Allen Hamilton. He has progressed from graduate research and postdoctoral work to senior machine learning engineering at Johns Hopkins APL, demonstrating strength in applied research, model development, and operationalizing ML in mission-driven environments. Known for collaborative problem-solving and energetic execution, Jordan often bridges academic rigor with practical deployment constraints. An uncommon strength is his sustained trajectory through academia into high-impact government and industry teams, making him adept at translating complex math into usable systems.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Arts (B.A.), Mathematics and Computer Science, Bachelor of Arts (B.A.), Mathematics and Computer Science at Carroll College
Doctor of Philosophy (PhD), Computational Mathematical and Statistical Sciences, Doctor of Philosophy (PhD), Computational Mathematical and Statistical Sciences at Marquette University
English