USC Keck School of Medicine
Master, Physician Assistant
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As a second-year Physician Assistant student with four years of high-volume EMT experience, I bring a unique blend of sharp clinical reasoning and seasoned, frontline operational adaptability to AI training. My background translates directly into the rigorous demands of medical data labeling and clinical LLM reinforcement. Across my time in emergency medicine and clinical rotations, I have developed an intuitive mastery of medical terminology, complex pathophysiology, and differential diagnostics. This allows me to interpret, annotate, and evaluate highly specialized medical data with the speed and precision of a practicing clinician, ensuring that training inputs are both accurate and contextually sound. What sets me apart is my extensive experience executing clinical protocols under pressure and my deep understanding of patient-provider communication. Having handled thousands of real-world patient encounters, I am uniquely qualified to evaluate AI-generated medical responses for clinical safety, empathy, and adherence to evidence-based guidelines. I am highly skilled at identifying subtle hallucinations, evaluating triage logic, and performing the meticulous red-teaming necessary to ensure healthcare models are safe for clinical deployment. I bridge the gap between complex medical practice and data engineering, delivering high-fidelity, model-ready data that elevates AI safety and efficacy.
Master, Physician Assistant
Biology, Science
Emergency Medical Technician
Emergency Medical Technician