Technical AI audit
I review your LLM/RAG system (production or pre-acquisition): architecture, dependencies, security basics, unit economics and risks — written report with severities and remediation estimates.
Production RAG, document AI and LLM evaluation for domains where being wrong is expensive: legal, tax, compliance. Quality is measured — never assumed.
Fixed formats, written deliverables, no scope surprises.
I review your LLM/RAG system (production or pre-acquisition): architecture, dependencies, security basics, unit economics and risks — written report with severities and remediation estimates.
Golden datasets, per-field metrics, retrieval benchmarking and regression gates in CI — so every model or prompt change is validated with numbers before it ships.
Ongoing senior AI engineering capacity without a hiring process: system evolution, continuous evaluation, technical oversight. Async-first, documented, in English or Spanish.
“Eduardo was fantastic… very pleased with how things turned out.”— US tax-compliance client (verifiable 5.0 review on Upwork)
An LLM once returned a perfectly formatted tax-office code… that didn't exist. My validation layer caught it against the official registry — no human would have. Everything I build follows the same principle since: model fluency is never evidence. Deterministic validation where errors are expensive, human approval where judgment lives, and numbers — not vibes — deciding what ships.