Summary
Danielh Carranza is a biomedical engineer and machine learning entrepreneur with 8 years of experience building clinical decision support systems and medical NLU solutions. As CEO and Co‑Founder of Endurant Healthspan and former ML lead at startups including a YC company, he blends full‑stack ML engineering with product design to operationalize AI for healthcare decision‑making. His work spans information retrieval, knowledge graphs, dialog systems, and biomedical NLP, and he has shipped production ML systems, internal libraries, and clinical tooling. He also consults and teaches, contributing to open‑source ML communities while independently researching AI for better patient outcomes. Outside work he channels discipline from ultrarunning and MMA into rigorous, outcome‑focused engineering.
8 years of coding experience
5 years of employment as a software developer
Deep Learning, Deep Learning at Stanford University
Engineer Biomedical Engineer, Engineer Biomedical Engineer at Technological Institute of Hermosillo
Spanish, English