Machine Learning for Biology & Healthcare Intern
As a Machine Learning for Biology & Healthcare Intern at Microsoft, I gained direct hands-on experience working with medical data for AI model training. My responsibilities involved evaluating the quality and accuracy of AI-generated outputs in healthcare contexts. I developed domain-accurate datasets and contributed to annotation and quality assurance workflows essential to healthcare AI model development. • Focused on clinical and biological text and structured medical records dataset evaluation • Annotated, rated, and interpreted medical information for model training and output validation • Engaged in AI workflow QA, emphasizing accuracy, hallucination detection, and ethical compliance • Utilized exposure to proprietary and common healthcare data tooling in annotation and analysis