Hi, I’m Maranda Hopkins. I’m an AI Evaluator specializing in Human-in-the-Loop systems, with 3+ years of experience evaluating ML and NLP model behavior in production environments. I focus on reducing hallucinations, bias, and edge-case failures. Recently I designed a 300-record human-in-the-loop case study analyzing model behavior across prompt types, annotator workflows, and confidence calibration— uncovering a critical reliability risk: high-confidence outputs that are incorrect. I blend hands-on annotation with a strong language intuition as a published author, and I’m currently expanding data analysis skills through the Google Data Analytics Professional Certificate.
I’m passionate about making AI outputs safer and more reliable, and I enjoy collaborating across teams to improve content safety, policy compliance, and user experience in real-world applications.
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