< Lorenzo Angelinetta >

Projects

The source code for the projects is available. View on GitHub.

Deep Learning and Agentic AI in dermatology

📌Thesis

🛠️Neural Network, Pytorch, LLM, Agent AI

Development and implementation of Deep Learning models for automatic classification of dermatological images.
Several systems have been created that can provide a context to the classification, integrating the models within an AI Agent, managed by an LLM, which activates the function based on the context.

Personal Portfolio

📌Personal project

🛠️HTML, CSS, JavaScript, Bootstrap

Personal portfolio that collects information related to the educational path, technical skills, professional experiences and projects developed.
It is designed to provide a complete and professional overview of the profile.

Climate Monitoring

📌University project

🛠️Java, SQL, Postgres

Client-server application that collects and analyzes meteorological data from more than 140,000 countries.
It is possible to use the application in operator mode to collect data and in user mode to consult them, with the possibility of viewing a summary report for each geographical area.

Stormgram

📌School project (high school)

🛠️Java (for Android), Firebase

Mobile application for Android inspired by some of the main features of Instagram.
The app allows users to register an account, post photos, like and save content. It is also possible to search for other users, follow them and send messages, thus replicating the basic functions of a social network.

Instruction

💻 Bachelor's Degree in Computer Science

📍 University of Insubria, Como
📅  2022 - July 2025

Thanks to my university career, I have deepened and consolidated my knowledge in the fields of programming, software development, computer system architecture, algorithms and data structures, database design, network fundamentals and the theoretical principles of computer security. Furthermore, I have acquired skills in the analysis and treatment of Big Data, understanding the fundamentals of data science.

During my university internship, I had the opportunity to analyze and understand the basics of Machine Learning and Deep Learning, with particular attention to the implementation and testing of LLM and Agent AI models.

💻 Diploma in Computer Science and Telecommunications

📍 ITC Marco Polo, Colico
📅  2017 - 2022
Result: 90 / 100

This path allowed me to lay the foundations and have solid knowledge in the main areas of computer science. In particular, it allowed me to learn the basics of programming , development of desktop and web applications , management of relational databases and network design.
In parallel with technical skills, I had the opportunity to develop transversal skills such as problem solving, teamwork and management of computer projects. This experience allowed me to build a solid foundation for university studies.

Professional experiences

School Internship at WebTek SPA

📍 WebTek SPA, Poggiridenti
📅May 2021 - June 2021
🛠️ Technical skills: HTML, CSS, JavaScriptl and WordPress.

Team development of an information website, in collaboration with Synergie, through the WordPress platform, with the aim of offering support and guidance to young people as they enter the world of work.
I contributed in particular to the organization of the contents, the customization of the theme and the care of the graphic interface.

Skills

Front-end

  • JavaScript
  • HTML
  • CSS
  • Bootstrap

Back-end

  • PHP

Database

  • SQL
  • MySQL
  • PostgreSQL
  • FireBase

Languages

  • Python
  • Java
  • C
  • C++

AI

  • Machine Learning
  • Neural Networks
  • Pytorch
  • LLM
  • Agent AI

Tools & Other

  • VS Code
  • Git
  • Docker
  • phpMyAdmin
  • 3d printing
  • Arduino