Education
Aug 2014 – Dec 2018Bachelor of Science in Computer Engineering
Università degli studi di Perugia, PG
Aug 2019 – May 2022Attended Master of Science in Computer Engineering program
Università degli studi di Perugia, PG
Expertise area
Computer Engineer with a passion for web development, machine learning and data analysis. I enjoy working with data and designing applications simple and intuitive to visualize and communicate the informations that are actually meaningful. I prioritize clarity and usability, avoiding bloated code, vibe coding caos and difficult to mantain projects.
Through my studies i built knowledge on system design to achieve the desired functionality, performance, and reliability. Always learning and refining my skills through research and reading technical documentation of the tools i use.
When i code i apply design patterns when necessary and evaluate the algorithmic complexity to deliver efficient solutions. My approach is to develop robust code based on solid software design, emphasizing clean architecture,maintainability, and performance, qualities that really give value to the applications by following best practices to balance functionality with long-term sustainability.
Proficient in machine learning and data analysis from building the foundation through data collection and scraping to cleaning, and performing Exploratory Data Analysis and building a predictive once the data is well understood. Creating insightful, interactive data visualizations that reveal patterns, communicate insights, and let the data speak through compelling visuals. Some experience in deep learning for image analysis, CNNs including segmentation and pattern recognition thanks to some of my personal projects.
Projects
December 2024 - February 2025
- A React dashboard with the use of Chackra UI.
- ExpressJS backend serving the crimes data to showcase
- To navigate the crimes of the City of Belém - Brazil in a modern site
January 2025
- SPA application written in React
- Interactive data visualization using chart.js
- Java Springboot backend
- Unit and integration test for backend and for frontend
May 2025
- Implementing image segmentation using U-Net implementation on a custom dataset
- Tools: Kaggle; Tensorflow; Labelbox;
May 2025
- A modern NextJS website for a judo club designed as a landing page for the club and to navigate about tecnhical resources about judo.
- Using MDX content management