AI Engineering
AI Engineering
Most AI features look great in a demo and fall apart with real users. I help you cross that gap — evals, latency budgets, cost controls, fallbacks, and the unglamorous reliability work that turns a prototype into a product.
What you get
- Eval harness wired to your real use cases (offline + online)
- Latency and cost budget per request, with monitoring
- Prompt + model versioning so you can roll back safely
- Fallback strategy for when the model is wrong, slow, or down
- A handover document your team can actually maintain
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