I’m a QA Analyst specializing in LLM evaluation, prompt validation, and RAG pipeline testing. With 20+ years of experience in high-stakes environments where accuracy is non-negotiable, I bring the same rigor to AI systems that enterprise teams depend on.
AI products move fast — but shipping without structured testing is how hallucinations reach your users. I build evaluation frameworks that catch the failures your dev team didn’t know to look for, before they become your customers’ problem.
Testing prompts for accuracy, consistency, and edge case failures across model versions.
Identifying when your LLM generates confident but incorrect or fabricated outputs.
Auditing retrieval-augmented generation systems for relevance, grounding, and failure modes.
Custom evaluation pipelines to measure model performance, consistency, and reliability over time.
End-to-end testing of AI-powered product features before they reach production.
 Designing comprehensive test cases that cover expected behavior and failure scenarios.
Writing clear evaluation reports, test plans, and findings your team can act on.
Ongoing monitoring and regression testing to catch model drift and quality degradation.