AI Data & Model Evaluation Engineer
At iMerit, I contributed to high-quality data annotation and model evaluation pipelines for enterprise AI systems. My role required applying strict quality assurance standards to ensure data consistency, reduce bias, and meet annotation guidelines. I produced technical summaries and feedback reports connecting data quality decisions to downstream AI model behavior. • Consistently applied rigorous evaluation metrics in the annotation process. • Reduced dataset bias and maintained annotation consistency. • Delivered analytical feedback to improve enterprise AI models. • Produced technical summaries documenting link between data and AI outcomes.