Ryuma Nakahata

Ryuma Nakahata is an accomplished professional with a robust background in artificial intelligence and machine learning, currently serving as a Subject Matter Expert AI Trainer at Outlier. In this role, Ryuma specializes in data annotation and prompt engineering for large language models, enhancing data quality through rigorous evaluation processes. Additionally, Ryuma is a Machine Learning Researcher at the Thomas J. Watson College of Engineering and Applied Science, where innovative research is conducted on machine learning architectures and generative image models. As a Graduate Teaching Assistant, oversight is provided for multiple undergraduate courses, resulting in high student satisfaction. Previous roles include web development, academic tutoring, and leadership positions in student organizations, all contributing to a well-rounded skill set in technology, education, and community engagement. Ryuma holds a Master of Science in Computer Science with a focus on Artificial Intelligence and a Bachelor of Arts in Mathematical Science.