I am a Computer Engineering student
focusing on Data Science, AI & ML.

Seeking a Full Time Employement starting from October 2025.
Searching mostly for Machine Learning, Data Engineer, Data Scientist and Data Analyst positions.

I'm particularly keen on its applications in economics and finance.
Below you can find more about me and some of the projects I have worked on.

My Education

TP

Master of Engineering

∙ Data Science, Markets, Organizations & Strategies.
∙ Specialized in Machine Learning and Artificial Intelligence.
∙ Selected for a double degree program.

Politecnico di Torino

Master's and Bachelor's Degrees in Computer Engineering

∙ Specialized in Artificial Intelligence & Data Analytics.
∙ Developed a strong foundation in data structures, algorithm and software engineering.

My Experience

SG

End of Master Internship

Model Risk Analyst for Auto Machine Learning models.

My Projects

Discover the GitHub repository in one click!

Code Generation for Legal language [Catala]

∙ Built a dataset for legal code generation by collecting online Catala code.
∙ Defined specific evaluation metrics for the Catala programming language (e.g., CodeBleu, Tree-Edit distance).
∙ Evaluated legal code generation performance across different LLM families (e.g., Llama, Phi) using custom metrics.

ONNX Runtime using Rust

∙ Created a parser to extract the information required to create a network from an ONNX file.
∙ Implemented a subset of ONNX operations.
∙ Used Rust libraries for efficient parallel execution of an ONNX model.

Web Scraping using BeautifulSoup

∙ Scraped approximately 230,000 products from 18 stores across 10 regions in France using Beautiful Soup and Python Requests.
∙ Analyzed the correlation between regional wages and product prices (across all categories and subcategories), leading to insights that could inform pricing strategies based on regional economic conditions.
∙ Conducted a brief analysis of the Nutri‑Score.

Fault Aware Training using PyTorch

∙ Trained CNNs with intentional faults, improving error tolerance.
∙ Used fault injection to enhance CNN accuracy during training.

Biometric Identity Verification using Python

Booking airplane seats using React and JS

My Dumb Web Apps