Gabriel Carrizo is a Machine Learning Engineer at RaySearch Laboratories since August 2020, previously serving as a Research Engineer at Kungliga Tekniska högskolan from February 2019 to July 2020, where innovative deep learning methods for medical image segmentation were developed. Notable achievements include creating a modular deep learning framework based on PyTorch, enhancing scientific experimentation control. Gabriel also interned at Ericsson, exploring reinforcement learning techniques, and worked as a Software Developer at NOW Electronics AB, focusing on front-end and back-end web application development. Early experience includes a Template Registration Engineer role at Sectra and completing a bachelor thesis project at Karolinska Institutet, developing software for synthesizing x-ray images. Gabriel holds a Civilingenjörsexamen in Medical Technology from KTH Royal Institute of Technology, obtained in 2019.
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