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SEMP Exchange Student

ETH Zürich - Eidgenössische Technische Hochschule Zürich

Natural Language Processing (Rycolab)

• Master Thesis: Expressivity of In-Context Learning in Large Language Models, supervised by Prof. Ryan Cotterell

MSc in Computer Engineering

UniPD - University of Padua

Artificial Intelligence & Robotics

• Thesis: Expressivity of In-Context Learning in Large Language Models

BSc in Computer Engineering

UniPD - University of Padua

Computer Engineering

• Thesis: Loss Function for Image Segmentation

Scientific Assistant Intern

ETH Zürich - Eidgenössische Technische Hochschule Zürich

• Performed research in Natural Language Processing and Formal Language Theory, focusing on the expressivity and computational properties of neural networks and large language models.
• Two submissions under review and one manuscript in preparation.

Cloud Data Engineer - Business Intelligence Engineer

Noovle S.p.A.

• Led a team of five engineers to implement from scratch an ETL pipeline for a major Italian bank on Google Cloud Platform (GCP).
• Developed multiple Cloud Composer DAGs to orchestrate data flows and integrated a Python-based alert system for data quality monitoring.
• Deployed Looker dashboards used daily for cost analysis and forecasting, enhancing decision-making efficiency for the client.

Software Engineer Intern

Social Thingum

• Configured a MySQL database and deployed a complete e-commerce website using XAMPP.
• Developed a binary classification model for food data using Python, improving data processing efficiency by 12%.

Full Time Teacher

I.P.S.I.A. della Valentina - PNRI00602X

• Taught Electrical and Electronic Science and Technologies to a class of 25 high school students, developing lesson plans and hands-on labs to facilitate practical learning.

Volunteer Developer

Lead The Future

Selected (1 of 10) by LTF to contribute as a volunteer to the development of a chatbot aimed at scaling their systems.

• Python chatbot development

FoodSight

Computer Vision system to monitor and predict food consumption and food waste in canteens. The project aims to promote sustainability, quality and customer satisfaction.

• Won a €11.644 grant from the University of Padova
• Python, OpenCV

RAG - UniPD Academic Assistant

Retrieval-Augmented Generation (RAG) system for answering students' questions about the Computer Engineering curriculum at UniPD. Dataset built by scraping the university website.

• Python, HuggingFace
• Model selection to optimize performance