MSc Student in AI & Data Science Engineering @ UnivPM | Junior Software Engineer | Freelance Developer
I'm a full-stack software engineer with a passion for building robust applications from the ground up. Graduated from Politecnico di Milano, I'm now pursuing my Master's in Artificial Intelligence and Data Science Engineering at Università Politecnica delle Marche.
My expertise spans from enterprise-grade . NET applications to cutting-edge Deep Learning pipelines, making me comfortable across the entire software development lifecycle.
📍 Based in Ancona, Italy | 💼 Open to opportunities
Full-stack web application with ASP.NET Core
A modern web platform demonstrating:
- C# backend development
- Responsive frontend design
- Full-stack architecture
- Dependency Injection and MVVM architecture
Cross-platform document automation built with . NET MAUI
A fully functional application for automated Word document compilation and PDF generation. Features include:
- Dynamic form generation from Word Content Controls
- Template protection
- Syncfusion integration for document processing
Python-based automation project
Project designed and developed initially for a one-shot classification. Actually is a powerful classifier that uses BERT, features includes:
- Finetuned xlm-roBERTa model, on a RTX 3060TI
- Easy to fit a precise task, even with few resources
- Fluently executable in macOS as in windows or linux (ubuntu) platform
| Project | Description | Focus Area |
|---|---|---|
| Uncounsciously-Sincere-Bot | Conversational AI chatbot implementation | RASA Framework, Dialogue Management, ollama, postgres |
| Graph-of-America | Cybersecurity graph analysis with community detection | NetworkX, Louvain Algorithm, Centrality Metrics |
| Boost-a-Model | Computer Vision & Deep Learning solution for Visual Servoing | ViT, GConvGRU, keypoint detection, PyTorch and CUDA optimization |
| GoldenHour | Time series forecasting for precious metals with geopolitical analysis | ARIMA/SARIMAX, Financial Data, Exogenous Variables |
| Dora-the-Data-Explorer | Cybersecurity incident classification using Microsoft's GUIDE dataset | XGBoost, Feature Engineering, Multi-class Classification |
- Advanced Deep Learning architectures
- RAG and model deployment pipelines
- Cloud-native application development
- OR-Tools optimization algorithms
💡 Open to collaborations on innovative projects at the intersection of software engineering and AI!