Code Dataset Labeling for AI-Powered Vulnerability Detection
Contributed to building a labeled code dataset for an AI-powered security scanner using LLaMA 3. Tasks involved categorizing code patterns, labeling vulnerabilities by type and severity, and reviewing AI-generated outputs for accuracy. Helped structure automated labeling pipelines integrated with GitHub API for continuous code quality analysis.