AI system architecture
Clarify service boundaries, evidence flows, failure modes, and the operational shape of a production AI product.
I help teams make AI products and developer infrastructure more dependable—then work close enough to the implementation that the decisions survive contact with the code.
Clarify service boundaries, evidence flows, failure modes, and the operational shape of a production AI product.
Turn private prompts and informal review into versioned evaluation, trustworthy evidence, and explicit release decisions.
Design and implement the CLI, observability, data, and workflow foundations that let a team move without losing control.
A direct assessment of architecture, failure modes, and the highest-leverage next moves.
A bounded engagement to turn an ambiguous systems problem into a buildable plan and working slice.
Senior engineering support close to the code, from the difficult first boundary through production handoff.
Send a short note with what exists, what is failing, and what decision you need to make.
lukazivkovic58@gmail.com →