2025
RAG Evaluation Framework
Automated test generation, multi-dimensional scoring, and hallucination detection for retrieval-augmented generation apps. Deterministic pass/fail harness with golden datasets and regression tracking (SWE-bench-style AI evaluation architecture). Continuous evaluation pipeline with MLflow experiment tracking and performance regression alerting.
Python
RAG
MLflow
LLM
Evaluation
FastAPI
Overview
Automated test generation, multi-dimensional scoring, and hallucination detection for retrieval-augmented generation apps. Deterministic pass/fail harness with golden datasets and regression tracking (SWE-bench-style AI evaluation architecture). Continuous evaluation pipeline with MLflow experiment tracking and performance regression alerting.
Scope
End-to-end product work: shipping user-facing surfaces, integrating services, and keeping releases maintainable—with attention to performance, clarity, and ops-friendly boundaries.