Summary
Nathan Cowen is a Solutions Architect and platform engineer with a decade of experience modernizing cloud-native systems and shipping production ML workloads. He’s driven end-to-end projects—from spearheading CI/CD, containerization and Kubernetes operations to building 16 microservices that connected TensorFlow Serving with user-facing Angular UIs and .NET backends. Comfortable bridging technical strategy and delivery, he’s led teams, defined enterprise standards, and translated business requirements into reliable, observable systems at companies like Ameren, Centene, and Ingram Micro. Nathan pairs a front-end background (HTML/CSS/JS/Angular) with deep DevOps skills (Docker, Jenkins, RabbitMQ, GRPC) and a master’s in Applied Analytics, which informs his data-driven approach to architecture. Colleagues rely on him to productionize ML proof-of-concepts into scalable services—a less-visible strength that sets his work apart.
10 years of coding experience
8 years of employment as a software developer
Master’s Degree, Applied Analytics, 4.0, Master’s Degree, Applied Analytics, 4.0 at Saint Louis University
Bachelor of Science, Interactive Digital Media, 3.78, Bachelor of Science, Interactive Digital Media, 3.78 at Webster University