I’m a software and machine learning engineer working primarily on production systems — the kind that need to be shipped, maintained, and iterated on inside real products.
Most of my experience is around applied ML in larger software environments: backend services, data pipelines, evaluation workflows, and the glue that holds them together. I’m comfortable moving across layers when needed, especially when things break.
I’m continuing to build and refine production ML systems, while exploring better tooling and workflows around automation, evaluation, and long-term maintainability.