I build evaluation infrastructure that tells you whether your AI system actually works — before it fails in production.

What you get:

LLM-as-a-Judge harness with golden datasets and multi-metric scoring

RAGAS integration: faithfulness, relevancy, factuality, context recall

Regression logging with score delta tracking across runs

Prompt injection detection (5 taxonomies) and PII redaction guardrails

HITL safety gates and output moderation

OpenTelemetry instrumentation + Jaeger trace visibility

Built for teams who need confidence in their LLM outputs, not just vibes.