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Iñaki C. has extensive work experience in the field of VoIP engineering. Iñaki currently works at Careium as a VoIP Engineer since December 2021. Prior to this, they worked at Doro Group as a VoIP Engineer from October 2020 to December 2021, and at Victrix Socsan S.L. from July 2019 to October 2020.

Before their role as a VoIP Engineer, Iñaki worked at Amper, S.A. as a Director of Engineering from July 2017 to July 2019. Iñaki also has experience as a Partner and R&D Manager at Bit Inventions from November 2009 to April 2018, where they were involved in various projects related to radio and telephone communications, including the integration of VoIP systems with industrial megaphone systems and the development of SIP, IAX2, RTP, and other protocols.

Additionally, Iñaki worked as a VoIP Engineer at Tunstall Ibérica S.A. from October 2013 to August 2016, as a Project Manager at Alhambra-Eidos from November 2007 to November 2009, and as a Senior Functional Analyst at Atos Origin S.A.E from November 2006 to November 2007.

Their earlier work experience includes being a Responsible for Projects at Metasincro from January 1999 to November 2006, where they were involved in software development projects, project planning, team coordination, and Agile/Scrum implementation. During this time, they worked on projects related to telecare call centers, domestic violence support systems, fleet tracking systems, alarm monitoring centers for telecare services, and various other specific developments.

Iñaki C.'s education history begins in 1990 and extends until 2006. During this time, they attended the Universidad Politécnica de Madrid, where they obtained a degree in Ingeniería Técnica Aeronáutica with a specialization in Aeronaves.

In addition to their formal education, Iñaki C. has also obtained several certifications. In December 2018, they completed the Coursera Course Certificate for "Machine Learning" and "Neural Networks and Deep Learning." The following year, in January 2019, they obtained certificates for "Convolutional Neural Networks," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," and "Structuring Machine Learning Projects" from Coursera.