ASO-Temba
CompletedExtensions to a Mamba-based model for temporal action detection in long videos, improving performance by up to 3.48 mAP points and enabling zero-lookahead streaming inference.
AI Master's student building real-world solutions in machine learning, computer vision, and natural language processing.
I study Artificial Intelligence at Bocconi University, where I also work as a Research Assistant on 4D scene embeddings for egocentric video understanding. My interests span computer vision, natural language processing, and building AI systems that work in practice.
During my 2026 software engineering internship at Amazon, I built and deployed an agentic AI system for global fulfillment optimization. I will join AI4I, the Italian Institute of Artificial Intelligence for Industry, as a Research Intern in March 2027.
A showcase of my work in AI, machine learning, and software development. Projects span machine learning, natural language processing, and software development.
Extensions to a Mamba-based model for temporal action detection in long videos, improving performance by up to 3.48 mAP points and enabling zero-lookahead streaming inference.
A benchmark of six embedding families across 17 language varieties. Character TF-IDF outperformed pretrained Transformers in recovering linguistic relationships (Spearman ρ = 0.905).
Bachelor's thesis exploring novel heuristics for efficient and accurate k-means clustering, including a proposed extended-Hartigan algorithm and its empirical evaluation.
I'm always open to discussing new opportunities, collaborations, or just having a chat about AI and technology.