AI Prompt Engineering Portfolio | Research & Evaluation (2024 – Present)
Built structured prompt libraries for technical research, cybersecurity analysis, education, and productivity automation. Evaluated and benchmarked outputs from multiple LLMs for accuracy, completeness, and instruction-following compliance. Documented evaluation criteria and scoring methodology for AI response quality assessment. • Authored prompt sets for repeatable research and learning workflows • Performed qualitative evaluation against defined rubrics • Captured evidence of response gaps and improvement opportunities • Standardized benchmarking procedures across models