Ingrid Galvez

Ingrid Galvez has a diverse work experience in various fields. Ingrid started their career as a Research Intern at the Universidade de Brasília in 2010, where they worked on developing a wireless sensor network to detect forest fires. Ingrid was responsible for programming network sensors using the nesC programming language on the TinyOS operating system.

In 2011, Ingrid worked as an Intern at the Procuradoria Geral da República, specifically in the Network and Security Departments. Ingrid'srole involved assisting with various tasks related to networking and security.

In 2014, Ingrid joined the Japan Science and Technology Agency (JST) as a Research Intern for the Crest Project. Ingrid performed performance analysis of large-scale graph processing on the cloud using the Scalegraph library on Amazon EC2. Additionally, they implemented a framework in Python to predict the time and cost of large-scale graph algorithms on Amazon EC2 spot instances.

Most recently, Ingrid has been working at Klas as a Software Engineer since 2015. Further details about their role have not been provided.

Ingrid Galvez completed their Bachelor of Engineering (BEng) degree in Network Engineering from Universidade de Brasília, a five-year program they attended from 2008 to 2013. Ingrid then pursued further education at University College Dublin, where they obtained a Master of Science (MS) degree in Computer Science from 2013 to 2014. In addition to their formal education, Ingrid also obtained certifications such as Novell Certified Linux Administrator from Novell and LPIC-1 from Linux Professional Institute in January 2015. It is not mentioned in the provided information whether they obtained the CompTIA Linux+ certification or its exact timing.