Daniel Venturim Ramos

Most experienced with TypeScript, JavaScript, Python, HTML, and spaCy, plus Next.js, Supabase, and Android. Generalist across mobile and web, focused on clinical and medical education.

Applying on-device machine learning to clinical decision support, and refining evidence-based approaches to medical education.

MedRam Cards, a spaced-repetition platform for medical students; an on-device clinical decision support app for Android; and a Python guideline-scraping tool in development.

Collaborations on clinical decision support, medical education technology, and evidence-based study tools. Happy to discuss mobile ML and medical software.