I deliver end-to-end AI model fine-tuning that turns general models into domain‑accurate, production‑ready systems—complete with evaluation suites, CI-driven deployment, and monitoring for reliability from day one. What sets this apart is a data‑centric, MLOps‑first approach—golden test sets, automated batch evals, and guardrails—so quality gains are measurable, regressions are gated, and integration into real workflows is seamless.