Arturo Collado Rosell has extensive work experience in various roles and industries. Arturo began their career at INVAP as an Intern in 2017. After that, they worked at Instituto Balseiro as a Graduate Research and Teaching Assistant in 2019 and later as a Teaching Assistant Professor from 2021 to 2022. Concurrently, they were also a PhD student at Balseiro Institute from 2017 to 2022.
In 2017, Arturo joined CNEA as a Scientific Researcher and later became an Intern at the National Commission of Atomic Energy. Arturo worked there until 2022.
In 2022, they joined Go2Future as a Computer Vision and Machine Learning Engineer. Arturo designed and trained deep neural networks for supermarket product detection using YOLO and other architectures. Arturo also had the role of CTO and Tech Lead until 2023.
In 2023, Arturo worked at teramot as a Data Scientist and Software Engineer until July. Currently, they are working as a Blockchain Developer at Rather Labs, Inc.
Arturo Collado Rosell has a strong educational background in the field of physics and engineering. Arturo began their education in 2011 as a physics student at the University of Havana. Arturo then continued their studies at Instituto Balseiro, where they obtained a Bachelor's degree in Physics from 2013 to 2015. Following this, Arturo pursued a Master's degree in Physics at the same institution from 2015 to 2016. Arturo further advanced their education by completing a Doctor of Philosophy (PhD) degree in Engineering from Instituto Balseiro, which spanned from 2017 to 2022.
In addition to their formal education, Arturo Collado Rosell also obtained various certifications to enhance their skills and knowledge. Notable certifications include "AWS Cloud Technical Essentials" from Coursera, earned in March 2023, and "DevOps on AWS: Code, Build, and Test" also from Coursera, earned in March 2023. Furthermore, they acquired certifications such as "Python Basics for Data Analysis Path" from Dataquest.io in February 2022 and "Build your first AI Stock Predictor using Amazon Forecast" from Coursera Course Certificates in September 2021.
Arturo's pursuit of learning extended to courses like "Machine Learning Engineer" from Udacity in February 2020 and "Fundamentals of Reinforcement Learning" from Coursera in March 2020. Prior to that, they completed a range of Python-focused courses such as "Fitting Statistical Models to Data with Python," "Programming for Everybody (Getting Started with Python)," "Python Data Structures," "Statistics with Python Specialization," "Understanding and Visualizing Data with Python," "Using Databases with Python," and "Using Python to Access Web Data," all earned through Coursera Course Certificates in July 2019.
Moreover, Arturo deepened their mathematical skills in the context of machine learning through courses such as "Mathematics for Machine Learning Specialization," which included modules on linear algebra, multivariate calculus, principal component analysis (PCA), and Python for Data Science. Arturo completed these courses, each earning a Coursera Course Certificate, in May 2019.
Overall, Arturo Collado Rosell has exhibited a strong dedication to their academic and professional growth through their educational journey and additional certifications.
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