AI Trainer & Model Evaluator (AktiivinenArki)
Evaluated AI-generated wound assessments for diagnostic accuracy and consistency in a medical AI system. Identified error patterns and implemented guardrails to directly reduce model misclassification. Produced structured feedback reports after each evaluation session, facilitating direct improvement in training data quality. • Reviewed wound diagnosis outputs for accuracy and reliability. • Applied dual evaluation: medical accuracy and output consistency. • Documented hallucination/overconfidence errors; designed corrective guardrails. • Created actionable evaluation reports and operational runbooks.