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Jose Tomas Guevara

Associate Engineer - Backend at BITA

Jose Tomas Guevara has a diverse work experience spanning several roles and industries. Jose Tomas'smost recent position was at BITA as an Associate Engineer - Backend, starting in November 2021. Before that, they worked at Multifiber as a Junior Software Developer from September 2020 to October 2021.

Prior to their software development roles, Jose worked at the Asociación de Competencias Matemáticas, where they served as a Tutor. In this role, they prepared students for international mathematical olympiads, participated as a jury in state and national olympiads, and served as Deputy Leader of the Venezuelan Team for various mathematical competitions.

Additionally, Jose held teaching assistant positions at Universidad Metropolitana (VE). Jose Tomas served as a Teaching Assistant for Physics I from April 2018 to January 2019, where they selected and explained exercises to complement the professor's class, graded homework and tests, and provided support to students. Jose Tomas also worked as a Teaching Assistant for Mathematics I from January 2018 to January 2019, where they performed similar responsibilities in the field of mathematics.

Overall, Jose Tomas Guevara possesses a strong background in software development, mathematics tutoring, and teaching assistance.

Jose Tomas Guevara obtained a Bachelor's Degree in Electrical Engineering from Universidad Metropolitana (VE) from 2015 to 2019. In addition to their degree, they also received several certifications from Coursera between 2018 and 2020. These certifications include "Capstone: Retrieving, Processing, and Visualizing Data with Python," "Convolutional Neural Networks," "Sequence Models," "Using Databases with Python," "Python Data Structures," "Using Python to Access Web Data," "Programming for Everybody (Getting Started with Python)," "Structuring Machine Learning Projects," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Genome Assembly Programming Challenge," "Neural Networks and Deep Learning," "Advanced Algorithms and Complexity," "Algorithms on Strings," "Algorithms on Graphs," "Data Structures," and "Algorithmic Toolbox."

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