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Osagie Iyamu

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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.

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Articles by Osagie Iyamu(1)

Evaluating LLM accuracy with RAGAS: a practical walkthrough

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.

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16 July 2026

Osagie Iyamu — ANN Tech — ANN Tech