I am a research assistant at Functional Neuroanatomy Group. I have experience in machine learning, embedded systems, and web applications. Currently, I am working in video analysis and machine learning for neuroscience.
Medical Information management must fulfill strict specifications of data protection. Microservices implement security checks repeatedly for every service. Besides, the modularity, intrinsic in microservices, adapts to the business model of medical centers.
Create ready to use Tensorflow datasets with parallelization from functions and classes. It can also use predefined loaders, which read directly from folders.
(2019) M.Sc. Biomedical Engineering (Computational Medical Physics)
(2014) B.Sc Electronic Engineering (Control Systems)
(2018-today) Software Developer Research Assistant, Funtional Neuroanatomy - Heidelberg University
(2016-2017) Software Developer, Mojix
(2015-2016) Academic Manager, STEM Robotics Center - Unidad Educativa ColibrÃ
(2014-2015) Researcher/ Hardware Engineer, Chemical Research Institute-UMSA
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Master Thesis Geometric Deep Learning methods for segmentation of medical images. Heidelberg University, 2019 . |
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Bachelor Thesis Experimental evaluation of the reconstruction of rotations on quaternions using an Optimal Observer for a navigation algorithm based on SO(3) complementary observers. Universidad Mayor de San Andres, 2014 .[Paper] |
