With a background as an Emergency Medicine Physician now working as a Clinical AI Engineer, I bring a unique perspective to the intersection of healthcare and technology. My medical experience provides invaluable insights into real-world healthcare delivery challenges, directly informing the AI solutions I develop.My expertise spans both high-pressure clinical environments and cutting-edge AI applications. This combination allows me to bridge the crucial gap between clinical needs and technological capabilities, rapidly prototype based on a deep understanding of medical workflows, translate complex healthcare requirements into actionable technical specifications, and ensure AI solutions align with both clinical best practices and ethical standards.My medical background creates a strong base for my current work: my clinical experience continuously informs my product development and technical decisions, ensuring solutions address real-world challenges. At the same time, my growing technical expertise allows me to envision and create innovative interventions that have the potential to significantly improve clinical practice.Currently, I am focused on leveraging machine learning and natural language processing (including large language models like ChatGPT) to tackle key challenges in clinical decision support, medical education, and healthcare data analysis. My goal is to create AI-driven tools that not only push technological boundaries but also seamlessly integrate into clinical practice.
Listed skills include Deep Learning, Machine Learning, Ruby On Rails, Ruby, and 32 others.