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Adrián Caderno Fernández has a diverse work experience in the field of computer vision and software engineering. Adrián most recently worked as a Computer Vision Software Engineer at Neural Labs, starting in May 2023. Prior to that, they were a Product Software Engineer at FICOSA from October 2019 to May 2023, where they developed and maintained computer vision and control applications for autonomous driving. Adrián also implemented Python scripts for validation pipeline and product release.

Before FICOSA, Adrián worked as a Software Engineer ADAS & AD at Centro Tecnologico de la Automoción de Galicia (CTAG), starting in April 2017 and ending in October 2019. In this role, they developed artificial vision algorithms using C++ for autonomous cars, working on various topics such as vehicle segmentation and tracking, mapping and positioning, and lidar sensors.

Prior to CTAG, they worked as a Computer Vision Software Engineer at Sinergia G6 from October 2016 to January 2017. And before that, they worked at Pescanova as a Software Engineer and Purchasing Technician from September 2015 to August 2016, where they developed computer tools for monitoring and implementation of continuous improvement processes and negotiated purchase categories with higher savings potential.

Adrián Caderno Fernández completed their Bachelor's degree in Industrial Electronics and Automation Engineering from Universidade de Vigo in 2012-2013. Adrián then pursued a Master's degree in Industrial Engineering from Universidad de León, specializing in Industrial Engineering, from 2013 to 2015. Prior to that, they had obtained a Technical Industrial Engineering degree with a specialization in Industrial Electronics from Universidade de Vigo in 2006-2012.

In terms of additional certifications, Adrián Caderno Fernández obtained the following credentials: Convolutional Neural Networks in TensorFlow from Coursera in October 2022, Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning from Coursera in February 2022, ROS For Beginners Path from The Construct in February 2021, Code Foundation for ROS Path from The Construct in November 2020, Convolutional Neural Networks, Deep Learning, Sequence Models, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Neural Networks and Deep Learning, and Structuring Machine Learning Projects from deeplearning.ai in 2020, Diploma Avançado de Português Língua Estrangeira from Universidade de Lisboa in July 2019, Conducción segura from FUNDAE Fundación Estatal para la Formación en el Empleo in November 2017, and First Certificate in English from the University of Cambridge in July 2016.