Summary
Marshall An is a computer scientist with a decade of experience designing cloud-backed educational technology and applied learning science research at Carnegie Mellon University. He builds CI/CD-driven, containerized infrastructure and auto-grading pipelines on AWS, Azure, and GCP to deliver scalable, hands-on programming courses and to collect fine-grained learning data for research experiments. His work bridges DevOps, instructional design, and learning analytics—authoring real-world lab projects while automating feedback and data capture to predict and improve student outcomes. Marshall’s focus on technology-enhanced apprenticeship combines practical skill acquisition with evidence-based training pathways that prepare learners for tech careers. Based in Pittsburgh, he brings a rare mix of production cloud engineering and pedagogical craft informed by collaborations with learning science faculty.
11 years of coding experience