● Crafted, iterated, and refined sophisticated prompts to guide LLM responses (OpenAI GPT-4, Claude) for production AI applications, systematically testing outputs to identify biases, hallucinations, and inaccuracies. ● Developed and maintained a comprehensive library of effective prompts and interaction strategies as a core team knowledge asset, documenting findings and best practices. ● Collaborated with software developers, data scientists, and product teams to integrate LLM applications across 5+ production modules, reducing integration time by ~30%. ● Stayed current with the latest advancements in generative AI, NLP, and prompt design techniques, enhancing AI application capabilities across 3 production releases.

● Applied Python and Pandas for data manipulation and API-based automation workflows. ● Authored 20+ structured test cases for backend AI services, applying systematic output analysis and documentation to improve reliability.