Simple Script Automation Tool (OpenAI Codex prompt engineering and evaluation).
Self-taught Python and OpenAI Codex prompt engineering work focused on generating, refining, and evaluating structured outputs for text-file parsing and transformation tasks. The activity included prompt iteration based on observed errors and edge cases across repeated test runs. Output quality was improved through logic inspection and adjustment of prompt wording to increase first-pass accuracy. • Generated 15+ functional code snippets using structured prompts for file parsing, data extraction, and text transformation. • Inspected AI-generated code for logic errors and edge cases across 20+ test runs. • Iterated prompt wording to improve first-pass output accuracy by 30%. • Automated organization of 500+ text files across 10 directories to support repeatable data processing workflows.