Javier Segura Canil

Javier Segura Canil has a diverse work experience history. Javier began their career in 2010 at Tecnovoz NorOeste S.A., where they worked in the role of Soporte y Tecnología for one year. In 2012, they joined Poder Judicial de la Provincia de Córdoba as a Mobile Forensic Engineer and remained in that position until 2017. During this time, they also worked as a Search Engine Evaluator at Lionbridge from July 2014 to March 2015. In 2014, they joined uTest as a Gold QA Test Analyst, and later transitioned to Applause, where they held various roles including TTL (Test Team Lead) and Test Engineer. Javier'smost recent role is Test Engineer III at Applause, which they have been in since November 2018.

Javier Segura Canil has a diverse education history. In 2005, they obtained a degree in Telecommunications Engineering from Universidad Blas Pascal. Javier also completed various courses and workshops throughout their education. In 2012, they earned a CCNA (Cisco Certified Network Associate) degree in Networking from UTN - Universidad Tecnológica Nacional (Córdoba).

Additionally, in 2012, they completed a general English course at Kaplan International College in London, United Kingdom. During the same year, they participated in a workshop and seminar on IPv6 at Universidad Tecnológica Nacional. In 2011, Javier took a Portuguese course at Universidad Nacional de Córdoba.

Furthermore, they pursued VoIP and Elastix, Open Source Unified Communications, at Universidad Tecnológica Nacional in 2010. Javier also received training in IT at Capacitación IT in the same year. In 2004, they earned a Bachelor's Degree in Humanities and Social Sciences from Instituto Manuel Belgrano.

Apart from their formal education, Javier has obtained additional certifications. In 2023, they completed a Diploma in Cryptoassets and Digital Finance offered by Universidad Blas Pascal.

It is important to note that there are several instances where the field of study or degree names are not specified. Based on the provided information, no strong assumptions can be made about the particular fields of study for these instances.