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Pages

Posts

Text2Motion: From Text to 3D Animation for Any Mesh

less than 1 minute read

This post introduces Text2Motion, a three-stage pipeline that automates the full 3D character animation workflow — from static meshes to text-aligned motion sequences.

Examining the Evolution of Language Among Dark Web Users

less than 1 minute read

This post provides an overview of my Google Summer of Code 2024 research project with HumanAI, where I investigated how language and themes evolve within Dark Web communities.

education

BSc in Computer Science, 110/110 with Honours

Thesis on the reproducibility of recommender systems, focusing on aligning evaluation metrics within the ClayRS open-source framework.

MSc in Data Science

An advanced master’s program focused on state-of-the-art techniques in machine learning and statistical analysis, pursued alongside professional roles in the AI industry.

hackathons

ITADATAHACK 2024

Competed in a 72-hour hackathon on a time series problem as part of a team of 3, achieving an F1 score of 70%.

portfolio

Text2Motion

A three-stage pipeline automating 3D animation from static meshes to text-aligned motion using PointNet++, transformer diffusion, and SBERT/T5 encodings.

GitHub Repo

Blog Post

Knowledge Injection XAI

A distributed framework predicting out-of-distribution robustness using only XAI metrics from clean data, integrating DINOv2, LoRA, and XGBoost.

GitHub Repo

publications

teaching

volunteering

Mentee at Superhero Valley

Selected as one of the Italian students for the mentorship program of Superhero Valley, a community dedicated to guiding students in computer science fields.

work

Data Scientist & Applied Scientist

Designed and deployed end-to-end AI solutions in NLP, computer vision, and LLMs, focusing on multimodal retrieval, anomaly detection, and HPC optimization.

Open Source Contributor

Analyzed 500k Dark Web discussion points using NLP models to identify key topics and deployed predictive models on Hugging Face to forecast trends.

AI Researcher & Applied Scientist

Conducting applied AI research at Leonardo Labs, focusing on advancing state-of-the-art methods in NLP, computer vision, and large language models.