🛠️ AI Engineer in Training | 🎓 Master’s in Computer Engineering | 🏆 Iliad STEM Scholarship Winner
Welcome to my personal GitHub showcase! This repository gathers the highlights of my academic, professional, and personal journey into the world of AI, Software Engineering, and cutting-edge tech. Whether you're here as a recruiter, collaborator, or fellow tech enthusiast: I'm glad you're exploring my work!
I'm currently pursuing my Master's Degree in Computer Engineering at Università degli Studi di Salerno, where I graduated 110/110 Cum Laude for my Bachelor's. I'm passionate about AI and have hands-on experience building smart solutions like a virtual healthcare assistant using Vertex AI and LangChain during my Internship at RiAtlas Srl.
Thanks to my commitment and curiosity, I won the Iliad STEM Scholarship (2nd Edition), earning mentorship from leaders in the tech industry and participating in high-impact workshops around corporate innovation and performance.
I believe in blending technical depth with real-world problem solving, and I thrive in multilingual, multicultural environments 🌍 (I am fluent in English 🇬🇧 and Italian 🇮🇹... and I speak a bit of Spanish 🇪🇸 too!).
- AI & LLMs: LangChain, Vertex AI, Python, Qiskit
- Engineering & Design: Algorithm Design, Data Structures, Verilog, QuestaSim
- Software Development: React.js, JavaScript, Java, Dart, Flutter
- Other Tools: Git, SQL, HTML/CSS, Android Development, Automation
Here are some of my favorite repositories you’ll find on my GitHub:
Comprehensive study & optimization of semantic segmentation models for rural roads. Deep learning semantic segmentation to power computer vision systems for autonomous vehicles in rural environments. PyTorch + CUDA optimized. Evaluated several architectures, achieved 60%+ mIoU with DeepLabV3+ResNet101.
Logistic regression classifier for bit decoding in binary vectors using stochastic gradient descent (SGD). Features performance evaluation, probabilistic modeling, confusion matrix analysis, and classification error interpretation. Developed in Python with Jupyter Notebook.
Hands-on regression analysis project in R using a dataset with 30 predictors. Includes manual OLS implementation without lm(), p-value computation, and comparison with built-in functions. Applies stepwise selection (AIC/BIC), Ridge, and Lasso to minimize test error and identify key predictors.
DrawSnap is a Java-based geometric drawing tool built with Scrum methodology. It supports creating and editing shapes (lines, rectangles, ellipses, polygons, text), grouping, custom shape libraries, and advanced editing features like rotation, mirroring, and unlimited undo.
A fully-featured Java Scientific Calculator based on Reverse Polish Notation (RPN) and advanced stack operations, developed with a GUI, JUnit testing, and UML planning. Built as part of a university software engineering project using the Waterfall model and producing ample documentation also, but not only, using UML diagrams.
A cross-platform mobile app to track and manage events. Developed with Dart and Flutter. Built as part of a 3-month university project by a 2-person team, it features local data persistence with SQLite, responsive UI, customizable statistics, and a clear dashboard to track upcoming and past events.
A full-stack pasta delivery web app built with PHP, JavaScript, HTML, and CSS. Features include dynamic cart management, user authentication and a customizable pasta builder. Developed in a team of 4 during a 3-month university project. It highlights skills in web development, database integration, and UI/UX design.
Uni Trust is a system designed for the management, selective sharing, and revocation of digital academic credentials in the context of international student mobility, such as the Erasmus program. The project adopts a decentralized, privacy-preserving, and interoperable approach, based on modern technologies.
Relational database project implemented in PostgreSQL for managing a seafood delivery system. Includes full SQL schema, constraints, triggers, views, sample data population, and complex queries for analytics. Covers order management, fishing methods, fishermen, boats, riders, customers, and payment handling.
The notes are in Italian, as they are based on courses I attended at an Italian university.
- IT: Appunti strutturati e risorse su Data Science e Apprendimento Statistico, inclusi regressione, inferenza Bayesiana, classificazione e apprendimento non supervisionato.
- ENG: Structured notes and resources on Data Science and Statistical Learning, including regression, Bayesian inference, classification, and unsupervised learning.
- IT: Concetti chiave di Ingegneria del Software con un focus su architettura, gestione dei progetti e design pattern, curati da lezioni accademiche e intuizioni pratiche.
- ENG: Key concepts of Software Engineering with a focus on architecture, project management, and design patterns, curated from academic lectures and practical insights.
If you're interested in AI, engineering, or just love tech chats: feel free to reach out!
"Curiosity-driven, creativity-fueled, and always learning: that’s how I roll!"