Technical AI Trainer & Code Evaluator
As a Technical AI Trainer & Code Evaluator, I was responsible for enhancing the coding and logical accuracy of frontier AI models by engineering, testing, and evaluating complex code-based prompts and solutions. I rigorously evaluated AI-generated code outputs, providing scenario-based feedback to improve model performance in edge cases. I also standardized the AI response evaluation process and conducted adversarial testing for robustness. • Engineered and assessed over 1,000 programming prompts and architectural code solutions. • Developed and implemented enterprise-level structured quality rubrics. • Conducted comprehensive debugging and stress tests to identify errors in LLM outputs. • Utilized advanced profiling and evaluation frameworks for continuous improvement.