During the internship, my focus was on infrastructure, particularly Kubernetes and cluster administration. I was responsible for implementing solutions to optimize IT environments and managing clusters to ensure efficiency, scalability, and performance. This experience was defined by ongoing learning and a strong emphasis on innovation.

In my professional journey within UAUBox, I've been involved in challenging projects, even leading some of them. I highlight the application of machine learning algorithms to extract insights and the construction of dashboards that enhanced data visualization. Additionally, I played an active role in organizing the company's logistics, using data analysis to optimize processes and ensure more efficient management.

• I was responsible for implementing a Machine Learning system using Federated Learning technique to train a dataset with micro-calibrated breast images that could be classified as 'normal', 'benign', or 'suspicious'.• I assessed the impact of artifacts such as dust and motion present in some image exams on the outcome of federated training.• I utilized tools such as Jupyter Notebook, Vs Code, Python, Tensor Flow for conducting the research.• Analyzing data and results were also crucial roles in my position.

• I was responsible for prospecting new clients for Electrical Engineering products.• I served as the company's marketing manager, studying and implementing ways to reach the target audience.• I conducted training sessions in sales, web design, and online content production.• I participated in various training sessions in the field of electrical engineering.• I studied the feasibility of new products for the company, such as home automation.