I work as a software developer on a project aimed at improving energy efficiency in the industrial sector.I am involved in developing data analysis solutions for an API, using Python and Flask, with the goal of preparing and analyzing data that feeds a visualization environment.Additionally, I provide support and maintenance for a management interface for data collection and transmission, using Node-RED to optimize and implement data flows, focusing on improving the performance and efficiency of these processes.

I worked as a Fullstack Developer on a project aimed at improving energy efficiency in the industrial sector, focusing on creating innovative solutions for data analysis and process optimization. I developed an API using Python, Flask, and Scikit-learn, focusing on data analysis and code optimization for large data volumes. Additionally, I worked on front-end development using TypeScript and React, creating and maintaining data visualization features, implementing new functionalities, and fixing bugs.I actively collaborated with the team to implement system improvements and integrate various technologies, ensuring efficient and scalable performance. I applied agile methodologies to manage deadlines and deliveries, enhancing my technical skills in software engineering, data science, and large data set optimization. Additionally, I developed essential soft skills such as teamwork, time management, focus on quality, flexibility, and self-awareness, which allowed me to quickly adapt to new challenges.

During my undergraduate studies, I had the opportunity to participate in a scientific initiation project dedicated to the development of an Augmented Reality (AR) application for mobile devices. The goal of this project was to use technologies to create a tool that would assist healthcare professionals, with a focus on telemedicine. For this purpose, the Unity platform and C# programming language were used.

The scientific initiation project focused on conducting a bibliographic-conceptual and technological study in the areas of Artificial Intelligence, Machine Learning, and Wearable Computing. The main objective of this research was to create a wearable device using embedded technologies, specifically the ESP32 microcontroller, with a practical application aimed at art exhibitions.