Who am I?

UNISA – Computer Science (Fisciano)

My academic journey at UNISA was far more than a traditional study path—it was where I truly learned what it means to build solutions, face complexity, grow through challenges, and mature both as a developer and as a person. I began in 2018 with curiosity and little certainty, and over the years I shaped a solid foundation made of theory, practice, and a clearer understanding of what I wanted to become.

I developed strong skills in object-oriented programming with Java, explored distributed programming through Java EE, and strengthened my web development abilities with HTML, CSS, and JavaScript. Alongside these technical areas, I studied mathematics and statistics and applied them directly through Python for data analysis and experimentation.

My thesis, “Comparison of Machine Learning Algorithms for Image Classification,” was one of the most significant challenges of my university years. Working with the Fashion-MNIST dataset, I compared various classification models and discovered the depth, rigor, and potential of machine learning when applied to real-world problems.

Beyond theory, I completed several practical projects, including an e-commerce platform for automotive products. This experience taught me what it truly means to design and implement a fully functional application—from concept to execution—by integrating front-end and back-end logic.

Yet, the most valuable part of those years wasn’t just the technical knowledge: it was the experience of working in teams, developing leadership when needed, and becoming a reliable point of support for fellow students. These soft skills shaped my collaborative mindset and the way I approach complex challenges today.

When I graduated in December 2022, I felt I was closing an important chapter—while at the same time carrying with me all the tools and awareness needed to begin the next one.

Me presenting my thesis project, explaining the work on comparing different Machine Learning algorithms for image classification.