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Software Developer at Mercado Livre
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Universidade Presbiteriana Mackenzie
Embedded Systems Engineer
June 29, 2026 – Present
TrashcanGame
April 19, 2024 – May 16, 2024
The game "Trash Belt" is an exciting and educational singleplayer experience developed in Python with the assistance of the Pygame library. This engaging game challenges players to test their knowledge of recycling and waste disposal into the correct bins.
View ProjectMacKcal
April 2, 2024 – May 27, 2024
Site responsivo para a criação de refeições diárias com base no seu Índice de Massa Corporal (IMC). Desenvolvido como parte do curso de Web Mobile do curso de Ciência da Computação da Universidade Presbiteriana Mackenzie.
View ProjectMetrografos-Application
September 2, 2023 – September 2, 2023
The subway line mapping system of São Paulo developed in the Python programming language is a versatile and efficient application that utilizes graphs to represent the network, making it easier to comprehend the network's topology and providing features such as distance calculations with estimated travel times.
View ProjectSplash-Game
September 2, 2023 – September 2, 2023
Olympic-themed multiplayer swimming game, developed in Python using the Pygame library. Throughout the creation process, we covered all software development stages, from requirements analysis to conducting tests with real children to enhance the gaming experience.
View ProjectParallelComputing-Study
August 11, 2022 – November 24, 2022
REPOSITÓRIO DE COMPUTAÇÃO PARALELA
View ProjectCultural Fit Analysis
The candidate's projects show a personal interest in diverse areas, from web development to game creation and parallel computing. The 'Embedded Systems Engineer' role listed as current experience, despite a future start date, suggests a strong alignment with the target role. However, the lack of detailed descriptions for several projects and the absence of team-based projects make it difficult to fully assess collaborative fit or broader cultural alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.