AI QA Specialist – AI Output Validation & LLM Testing
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Conducted AI output validation and LLM testing across a B2B SaaS platform, applying prompt engineering to assess model reliability. Used prompt refinement and output benchmarking to systematically evaluate and improve AI-generated responses. Integrated multiple AI models into product QA workflows, focusing on maintaining high accuracy and reducing error rates.
• Validated LLM and AI outputs for accuracy, coherence, and alignment with requirements
• Refined prompts and performed model benchmarking for continuous improvement
• Leveraged ChatGPT, Gemini, and Copilot for daily AI testing within a CI/CD environment
• Maintained ~99% output validation accuracy during a 4-year engagement
Conducted AI output validation and LLM testing across a B2B SaaS platform, applying prompt engineering to assess model reliability. Used prompt refinement and output benchmarking to systematically evaluate and improve AI-generated responses. Integrated multiple AI models into product QA workflows, focusing on maintaining high accuracy and reducing error rates. • Validated LLM and AI outputs for accuracy, coherence, and alignment with requirements • Refined prompts and performed model benchmarking for continuous improvement • Leveraged ChatGPT, Gemini, and Copilot for daily AI testing within a CI/CD environment • Maintained ~99% output validation accuracy during a 4-year engagement
2022 - 2026