Carlos Lizcano de Amoroto

Carlos Lizcano de Amoroto has two work experiences. From November 2018 to present, they worked at Idoven as a Research and Development Data Scientist Engineer. At Idoven, they designed, implemented, trained, and deployed algorithms based on Deep learning for the recognition of cardiac arrhythmias using electrocardiographic signals. Carlos used TensorFlow and Python to build the different architectures and Google Cloud Platform for training and deployment.

From January 2018 to June 2018, Carlos worked as a research intern at Nokia. Their role involved designing and implementing a Multisensor Module capable of detecting and classifying human activity in indoor environments. Carlos programmed microcontrollers such as ESP8266 12-E and STM32F103C using Arduino. Carlos also designed and assembled the PCB for the device.

Carlos Lizcano de Amoroto completed a Master's degree in Internet of Things from the Universidad Politécnica de Madrid from 2018 to 2019. Prior to that, they pursued a Grado en Ingeniería in Ingeniería Electrónica Industrial y Automática from the Universidad Carlos III de Madrid from 2013 to 2018. In addition to their formal education, they obtained a certification in Python 3 from SoloLearn in August 2019.