Software Engineer for Training AI Data
• Specialized in the critical evaluation of AI-generated frontend code and user interfaces. My role involves defining and enforcing rigorous standards for code quality, performance, accessibility (WCAG), and UI/UX fidelity. By systematically reviewing and ranking machine-generated outputs, I provide the essential, expert-level feedback required to establish the 'ground truth' for training next-generation AI development tools • Contributed to the advancement of AI by creating and curating high-quality training datasets focused on frontend development. This involves authoring exemplary code in JavaScript, TypeScript, and React that serves as the gold standard for model training. • Focused on refining the reasoning capabilities of large language models in the domain of user experience. I design targeted prompts and assess the AI's ability to generate intuitive, functional, and aesthetically pleasing interfaces.