LLM safety engineer at an Edo State AI startup, building content-filtering layers for consumer-facing language models. Designed the adversarial prompt classifier that blocks jailbreak attempts with 97% precision.
Learn how to build a secure, automated PR description generator using Claude and GitHub Actions, emphasizing prompt safety and adversarial robustness.
8 August 2026
RAGAS provides a reference-free evaluation framework for RAG systems that measures faithfulness, answer relevancy, context precision, and context recall using LLM-as-judge techniques. This walkthrough covers setting up RAGAS, interpreting each metric, and integrating evaluation into a CI pipeline to catch regressions before they reach production.
16 July 2026