Nonso Amadi is a production engineer working at the intersection of cloud infrastructure, distributed systems, and machine learning infrastructure. With a foundation in Site Reliability Engineering and DevOps, he has spent years building and operating production systems where reliability, security, automation, and scale are critical.

His experience spans Kubernetes, cloud infrastructure, Infrastructure as Code, CI/CD, observability, and distributed systems. He has worked on infrastructure migrations, production reliability, security, and systems supporting rapidly growing user bases, with a strong focus on automating operational complexity and building resilient systems.

Today, Nonso is focused on MLOps and the infrastructure behind modern AI systems. He is particularly interested in the engineering problems that emerge as machine learning moves into production: reliable model delivery, large-scale compute, GPU infrastructure, orchestration, observability, distributed systems, and the systems required to operate ML workloads reliably.

He brings an SRE mindset to this work: understand the system deeply, automate what can be automated, design for failure, and build infrastructure that remains reliable under pressure. His broader interests sit at the intersection of AI infrastructure, distributed systems, security, and production engineering.