Frontend Code Validation & AI Training Data Annotation
Validated and annotated AI-generated code outputs for LLM training at ManagAI. Labeled 500+ code snippets for quality classification (correct/incorrect/needs-refinement), identified edge cases in React/TypeScript generation, and provided feedback on code pattern adherence. Project focused on improving AI model accuracy for business logic generation, reducing hallucinations by 40% through systematic annotation of frontend code examples.