I work on AI and data-driven applications with a practical focus: predictive modeling, data analysis, LLMs, and systems that integrate models into useful products. I handle development, technical integration, and delivery.
Current role
Short profile, education and technical direction
I am an AI Engineer at NTTDATA Italia, with a Master’s degree in Computer Science from Sapienza University of Rome and a specialization in Machine Learning and Deep Learning.
I like applying AI and data science to real-world problems, with a strong interest in predictive modeling, data analysis and the use of Large Language Models. I work best when I connect research, development and product thinking.
I have hands-on experience with AI, deep learning and software development projects. I care about writing solutions that are easy to read, robust to maintain and flexible enough to grow with the context.
You can find more of my work on GitHub and on my Linktree page.
Roles and projects that describe my work better than a generic list of duties
Grouped by how I actually use them: languages, frontend, backend, data science, and tools
I move comfortably across Python, C#, Java and JavaScript, with enough exposure to TypeScript, Solidity and LaTeX to switch context quickly when projects require it.
Click to go backFrontend work on web and mobile interfaces using HTML/CSS/SCSS, React, React Native and Unity when the experience requires a richer interactive layer.
Click to go backBackend services, API layers and data persistence built around FastAPI, Node.js and relational databases, with Docker and HardHat where the stack demands it.
Click to go backI use PyTorch, PySpark, Scikit-Learn, Pandas and plotting libraries to build, inspect and explain models and datasets in a way that stays practical for product work.
Click to go backTools I use daily for version control, API testing, containerization, design handoff and documentation. Enough to keep the delivery side moving without friction.
Click to go backAcademic path and credentials aligned with the AI focus
Focus on Machine Learning, Deep Learning, Big Data and Computer Vision.
Thesis: study on LLMs, data analysis and Bitcoin trading strategies using social datasets and sentiment analysis.Strong foundation in algorithms, networks, systems, software engineering and application development.
Thesis: GeneroCity - application designed to simplify urban parking search and management.Cloud AI certification
Validates skills in designing and integrating AI solutions on the Microsoft Azure ecosystem.
B2 language certification
Cambridge English B2 certification covering reading, writing, listening and speaking skills.
All main projects: personal apps, university work and team-built products
Cross-platform offline transcription app that uses OpenAI Whisper and analyzes text with LLMs like Gemini or local models via Ollama.
Android app that simplifies document scanning, processing, and sharing using Google Play Services ML Kit.
Privacy-focused Android app for audio transcription and text refinement that combines on-device AI with cloud models.
Study on using LLMs to assist Bitcoin traders via sentiment analysis of news, social media, and text.
Deep learning implementation for multimodal advertisement sentiment analysis using voice, facial expressions, and remote photoplethysmography.
Deep learning models for skin lesion classification using CNNs, Vision Transformers, and StyleGAN.
Blockchain DApp that allows customers to verify the authenticity of purchased products.
Machine learning models to predict Bitcoin prices using market features and blockchain data.
TheFork clone built with a microservices architecture, independent backend services, and vector search.
Voicefork add-on that adds an Alexa skill for voice-based restaurant reservations.
Web app for biometric access to a university cafeteria using facial recognition.
Routing protocol for UAV ad-hoc wireless networks using Q-learning.
Machine learning model to predict stroke risks, developed for the Fundamentals of Data Science course.
Android app to find parking. Built the frontend home screen, parking list, and check-in/out flows.
If you want to talk about applied AI, data science, LLMs or a possible collaboration, contact me by email, phone or LinkedIn.