AI & Intelligent Systems Engineer – Prompt Engineering and LLM Output Structuring
Designed and implemented prompt engineering patterns for structured LLM output, enabling reliable JSON extraction from unstructured travel content at production scale. Integrated OpenAI and Google Gemini APIs into production workflows to automate fare summarization, itinerary generation, and customer-facing content. Applied GenAI tooling, such as Vertex AI and Streamlit, to automate internal data workflows, reducing manual processing for analytics tasks. • Developed and refined prompts to guide LLMs in producing structured data from unstructured sources. • Evaluated and optimized LLM output accuracy and consistency for real-world use cases. • Collaborated with engineering teams to scale prompt and output validation across multiple domains. • Utilized Vertex AI and proprietary internal tools for workflow automation and GenAI output extraction.