Christos Tzotzadinis

Christos Tzotzadinis has a diverse work experience in the technology industry. Christos currently works at DeepSea Technologies as the Customer Operations Engineering Lead, where they are responsible for managing customer operations and ensuring the smooth deployment and support of the company's products. Prior to this role, they worked as an Operations Systems Engineer at the same company, leading a support team and performing configuration, deployment, and support tasks. Christos also worked as a Services Support Engineer at DeepSea Technologies, providing support for the company's products and producing KPI reports.

Before joining DeepSea Technologies, Christos worked at Riscure as a Security Analyst and Test and Support Engineer. In this role, they were a lead member of the Customer Experience Team, where they performed signal processing techniques during security evaluations and tested new releases of software and hardware.

Christos also gained research experience during their internships at Thales. Christos worked as an M.Sc Thesis Research Intern, conducting research and gaining practical experience in the field. Christos also completed a research internship at Thales, where they further developed their research skills.

Overall, Christos Tzotzadinis has acquired a strong background and expertise in customer operations, support engineering, and research through their various roles in the technology industry.

Christos Tzotzadinis has a diverse education history with a strong emphasis on engineering and computer science. Christos completed their Bachelor's degree in Electrical and Computer Engineering at Democritus University of Thrace (D.U.Th.) from 2008 to 2015. Christos then pursued a Master's degree in Electrical Engineering at Delft University of Technology from 2015 to 2017. Continuing their education, they completed a Master of Science (MSc) in Informatics and Telematics at Harokopio University of Athens, starting in 2022.

In addition to their formal education, Christos Tzotzadinis has obtained several certifications related to machine learning. In March 2020, they completed the "Machine Learning with Python" and "Structuring Machine Learning Projects" courses from Coursera. In February 2020, they completed the "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" course, also from Coursera. In the same month, they also completed the "Neural Networks and Deep Learning" course, demonstrating their dedication to expanding their knowledge and skills in this field.