Alejandro García Osés

Alejandro García Osés worked as a Machine Learning Engineer at Intelygenz starting in June 2023. Prior to that, they worked at Veridas Digital Authentication Solutions, S.L. from January 2018 to June 2023. During their time at Veridas, Alejandro contributed to the development of a state-of-the-art antifraud model and a face verification algorithm that was tested by the National Institute of Standards and Technology. Alejandro also conducted full-cycle experiments to validate hypotheses using new datasets and algorithms. Before joining Veridas, Alejandro was a Researcher at Clínica Universidad de Navarra from December 2016 to December 2017.

Alejandro García Osés pursued their education in the field of engineering and electronics. Alejandro obtained a Bachelor's degree in Industrial Engineering with a specialization in electronics from the Universidad Pública de Navarra, where they studied from 2011 to 2015. Following that, they pursued a Master's Degree in electronics, specifically in the field of Electrical and Electronic Engineering, at the Universidad de Zaragoza from 2015 to 2016.

In addition to their formal education, Alejandro also obtained several certifications. These include the Deep Learning Engineer certification from Workera in August 2021, the Introduction to SQL certification from DataCamp in June 2022, the AWS Cloud Technical Essentials certification from Coursera in October 2022, the Building Modern Python Applications on AWS certification from Coursera in January 2023, and the Hugging Face Deep Reinforcement Learning Course certification from Hugging Face in April 2023. It is worth noting that Alejandro also mentions a certification in "Aprendizaje automático" (Machine Learning) from Coursera, but the specific details regarding the completion month and year are not provided.