Roy Wang

Roy is an AI Application Engineer who builds products end-to-end, from fine-tuning machine learning models to shipping interactive user interfaces. He uniquely applies his background in Learning Sciences from National Taiwan Normal University to create AI tools that are not just powerful, but also intuitive and human-centered.

He has a core technical edge in full-stack AI development, including building RAG pipelines and scaling model outputs into polished, real-world applications with React and Node.js.

Unique fact: He significantly improved a BERT models performance, increasing its F1 score from 0.23 to 0.68 through fine-tuning on over 20,000 data points.