Summary
James Argyropoulos is an AI Platform Engineer with 11 years of experience building reliable, production-grade systems and a reputation for being quality-obsessed and an advocate for best-practice design. He has progressed from full-stack and backend roles into senior machine learning and AI platform engineering at organizations like Qualtrics and Johns Hopkins APL, bringing hands-on experience with AWS serverless architectures, CI/CD, and observability. Comfortable translating team needs into technical designs, he has driven internal engineering and research services with rigorous test coverage and automated pipelines. His academic background spans computer science and space systems engineering, reflecting a blend of practical software craft and systems thinking that surfaces in scalable ML infrastructure work. Notably, he pairs strong communication and teamwork with a persistent focus on robustness that helps teams move models from prototype to production.
11 years of coding experience
10 years of employment as a software developer
Master's degree, Computer Science, 3.87, Master's degree, Computer Science, 3.87 at University of Washington
Australian National University
Master of Science - MS, Space Systems Engineering, Master of Science - MS, Space Systems Engineering at Johns Hopkins Engineering for Professionals
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Stony Brook University
Spanish, English