Daniel Alcaraz Ortiz

At Universidad Politécnica de Cartagena, I built an nnU-Net diagnostic support system for automatic ischemic stroke detection and segmentation, deploying it on NVIDIA Jetson Xavier NX. I reduced per-volume processing time from 15.3 to 10.2 seconds at 10–13 W while maintaining clinically comparable segmentation quality to NVIDIA A100 inference; this work was published in Sensors as first author.

I'm also completing a Master’s in Industrial Organization, modeling stroke-code care pathways with queueing theory and discrete-event simulation to assess automated image interpretation and economic feasibility. At Grifols, I managed GxP-compliant materials documentation, designed experimental protocols, tested prototypes, and analyzed R&D data within medical-device regulatory frameworks.