Rhuan Edson Caldini Costa

Rhuan Edson Caldini Costa has a diverse work experience spanning over several years. Rhuan Edson began their career in 2007 as a Computer and Network Technician, working as a self-employed individual until 2016. During this time, they gained considerable experience in troubleshooting computer systems and networks.

In 2014, Rhuan embarked on an internship at Algonquin College, where they worked as an Engineering Intern. This opportunity allowed him to develop important skills and gain practical experience in the field.

In 2017, Rhuan joined the Instituto Nacional de Pesquisas Espaciais as a Masters Candidate. Rhuan Edson focused on research and academic endeavors during this time, providing him with an in-depth understanding of their chosen field.

Since 2018, Rhuan has been employed at Venturus, a reputable company. Rhuan Edson has progressed through various roles, beginning as a Junior Development Analyst and steadily advancing to become a Middle and Senior Development Analyst. This demonstrates their growth and expertise in the field, as well as their ability to handle more responsibilities.

Rhuan's work experience highlights their technical proficiency, adaptability, and commitment to professional development. Rhuan Edson'svaried roles and experiences have equipped him with a strong foundation for continued success in their career.

Rhuan Edson Caldini Costa completed their Master's degree in Applied Computing from INPE - Instituto Nacional de Pesquisas Espaciais, from 2017 to 2019. Prior to that, they obtained a degree in Computer Engineering from Federal University of Technology - Parana, where they studied from 2011 to 2016. As part of their education, they also attended Algonquin College of Applied Arts and Technology from 2014 to 2015 to pursue a degree in Computer Engineering Technology. Additionally, Rhuan has obtained several certifications, including Convolutional Neural Networks, Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization, Structuring Machine Learning Projects, Neural Networks and Deep Learning, and Certified ScrumMaster® (CSM®).