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Medical DicomI am a Medical Doctor with hands-on experience in data annotation and AI training, particularly through my work at Mindrift where I specialized in labeling and reviewing text, audio, and image data. My background allows me to apply clinical expertise to evaluate AI-generated outputs for accuracy, consistency, and contextual relevance, ensuring that language models and datasets meet high standards of quality. I am skilled in prompt engineering, response verification, and dataset annotation, with a strong focus on improving AI performance in healthcare and beyond. My proficiency in Python, analytical thinking, and attention to detail enables me to contribute effectively to projects involving natural language processing, medical data, and remote collaboration. I am passionate about leveraging artificial intelligence to enhance data quality and drive better outcomes in both technology and healthcare domains.
The project involves evaluating a model’s responses to specific clinical cases, identifying errors, and rating the quality of those responses.
Certificate, Data Analytics
Doctor of Medicine, Medicine
Medical Intern
