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I am a professional AI data specialist with a background in Physiotherapy (OAU, Ile-Ife) and Medicine & Surgery (UNIMED, Ondo ā in progress), combining clinical expertise with hands-on experience in medical data annotation, AI response evaluation, and health-tech quality assurance. I specialise in annotating clinical texts ā physician notes, diagnostic reports, radiology summaries ā for NLP and AI model training, with a strong ability to detect medical inaccuracies, logical hallucinations, and ICD-10 coding errors in AI-generated outputs. My background in human anatomy, physiology, pathology, and patient care gives me a genuine edge in medical AI projects that generic annotators cannot replicate. š¹ Medical Data Annotation & Labelling š¹ AI Response Evaluation (RLHF / Prompt Eval) š¹ Clinical NLP & Health Record Review š¹ Physiotherapy & Rehabilitation Knowledge š¹ Research, Technical & Medical Writing I have maintained a 96%+ quality score across annotation projects and bring reliability, medical precision, and deep instruction-following ability to every engagement.