Shaping Engineers in the Age of AI
How we can help junior engineers become the next generation of seniors, now that the old ways of training-on-the-job have stopped working.

Principal MLOps Engineer & Software Architect
I help engineering teams build reliable, production-ready AI systems — tools that work and don't keep you working.
A sharp external perspective, a clear plan for your AI initiative, hands-on delivery, or practical training.
An external eye on your microservices, Kubernetes, and AI platform design.
Scope and de-risk your ML/AI projects — what to build, and whether it’s worth it.
Turn machine learning prototypes into reliable, production-grade products.
Hands-on workshops on MLOps, Kubernetes, and AI workflow automation.

Data scientist turned software architect and principal MLOps engineer at DHL Data & AI. I’ve spent my career building, running, and improving machine learning systems from a software engineering perspective — now available as an independent consultant.
Notes on MLOps, distributed systems, and building reliable software.

How we can help junior engineers become the next generation of seniors, now that the old ways of training-on-the-job have stopped working.

About the limits of synchronous HTTP calls and how to provide a good API experience for slow operations.

Development on Ingress Nginx controller stops in March 2026. Here's why the Gateway API is not just a replacement, but a major upgrade for application developers.
Whether you have a concrete project in mind or just want a second opinion, I’m happy to help.
Get in touch