Pandan uses AI to help health insurers identify and fix operational issues. For example, insurers lose Medicaid revenue when a patient condition like diabetes is missing from a claim. Pandan makes it simple to detect and fix this issue quickly.
While studying US healthcare policy during grad school, I became excited about using machine learning to transform the way healthcare is administered. Since then, I've worked in a number of engineering roles at the intersection of healthcare and ML, most recently as the Director of ML at AKASA.
Co-founder of Pandan, automating obscure corners of the US healthcare system. Previously, worked at Microsoft AI, AKASA, and AI Singapore.