I will improve your llm evaluation and ai reliability

If you're deploying LLMs in production and don't have a real evaluation pipeline, you're flying blind on reliability. I design evaluation systems: benchmarking, judge calibration, hallucination analysis, and testing pipelines that catch failures before your users do.

This is the layer most AI products skip and the one that determines whether your system is trustworthy at scale.

Background: independent AI measurement research lab, published research on LLM-as-judge evaluation dynamics and failure modes.