Expertise & Skills

AI Evaluation Specialist

At Agentik OS, we specialize in designing and implementing comprehensive LLM evaluation frameworks that give teams real confidence in their AI systems before production deployment. Our engineers have built evaluation pipelines using industry tools including RAGAS, DeepEval, PromptFoo, and custom harnesses built on OpenAI Evals and Anthropic evaluation patterns. We assess output quality across dimensions such as faithfulness, answer relevance, context recall, toxicity, and hallucination rates, producing actionable scorecards rather than vague impressions. Our team has run evaluation campaigns on RAG systems, customer support chatbots, document processing pipelines, and multi-agent workflows, consistently identifying failure modes that manual testing missed. We integrate eval pipelines directly into CI/CD workflows so every model update or prompt change triggers automated quality gates before reaching production. Clients typically see a 30 to 50 percent reduction in AI-related production incidents after adopting our eval-first development process, and engineering teams gain the clarity to iterate on models and prompts with measurable, data-backed confidence.