Daniel Amador Montaño

Daniel Amador Montaño has worked in a variety of roles since 2006. Daniel began their career at Rymsa Telecom SA as an Ingeniero Comercial and Ingeniero I+D. Daniel then moved to Kavveri Telecom España, where they worked as an Ingeniero/Dirección Comercial. In 2011, they joined OPTIMUS Sound & Communication as Director de Exportación. In 2019, they began working at Minsait as a Data Scientist, where they developed classification models for complex documents, named entity recognition models, and analyzed and processed large databases. In 2020, they joined Tinámica as a Senior Data Scientist, where they developed time series models for trading. In 2021, they moved to Topazium Artificial Intelligence as Head of Artificial Intelligence, where they developed deep learning models for medical computer vision, classical machine learning models, and neural networks applied to medical tabular data. Finally, in 2022, they joined Erudit as a Senior Machine Learning Engineer, where they are developing and optimizing natural language processing pipelines and machine learning models for deployment in production.

Daniel Amador Montaño's education history includes a Master's degree in Sales Management from EAE Business School from 2013 to 2014, a Master's degree in Ingeniería eléctrica, electrónica y de comunicaciones from the University of Gävle from 2004 to 2006, and an Ingeniería técnica en telecomunicaciones, especialidad en Sistemas electrónicos from Universitat Politècnica de València (UPV) from 2000 to 2006. Daniel also has a number of certifications, including a Rasa Developer Certification from Rasa obtained in March 2021, and a number of Coursera certifications obtained in June 2020 and September and October 2018. These certifications include AI for Medical Diagnosis, AI for Medical Prognosis, AI for Medical Treatment, AI for Medicine, Convolutional Neural Networks, Programa Especializado - Deep Learning, Sequence Models, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Neural Networks and Deep Learning, and Structuring Machine Learning Projects. Additionally, they have a NLP Avanzado from Saturdays.AI in 2020, and a Deep Learning specialization from Saturdays.AI in 2019.