AI Trainer — Medical Domain
Text
I applied clinical reasoning to complex prescribing case studies used in LLM evaluation and medical AI training. My role involved identifying dosing trends, duplicate therapies, and critical decision points to support structured data labeling and hallucination detection tasks. I ensured high-quality standards in data annotation for medical AI accuracy and reliability. • Evaluated large language model outputs for medical accuracy
• Annotated and validated clinical reasoning pathways
• Detected and reported model hallucinations and inconsistencies
• Contributed to the development of evaluation protocols for medical AI
I applied clinical reasoning to complex prescribing case studies used in LLM evaluation and medical AI training. My role involved identifying dosing trends, duplicate therapies, and critical decision points to support structured data labeling and hallucination detection tasks. I ensured high-quality standards in data annotation for medical AI accuracy and reliability. • Evaluated large language model outputs for medical accuracy • Annotated and validated clinical reasoning pathways • Detected and reported model hallucinations and inconsistencies • Contributed to the development of evaluation protocols for medical AI
2025 - Present