NES
Provided expert-driven evaluation and labeled data services to support quality improvement of coding agents and code editing models. Created high-quality benchmark datasets capturing real-world developer workflows. Produced detailed annotations to expose model failure modes and edge cases. Collaborated on proprietary datasets used for AI model hill-climbing and performance benchmarking.