MSc Artificial Intelligence Systems student at the University of Trento, with a background in Information Engineering.

I build applied Machine Learning projects involving Natural Language Processing, Conversational AI, Deep Learning, and 3D pose-based Computer Vision.

• Machine Learning and Deep Learning
• Natural Language Processing
• Conversational AI
• Temporal Action Segmentation
• 3D Human Pose Data
• Reproducible Python projects

Adaptation of a FACT-based Temporal Action Segmentation pipeline to 3D pose sequences from the FS-Jump3D dataset.

Main topics: Computer Vision, Temporal Action Segmentation, 3D Pose Data, Deep Learning

Hybrid LLM and rule-based conversational system for constrained meal planning, with structured NLU, policy control, and evaluation.

Main topics: NLP, Conversational AI, LLMs, Rule-based Systems, Evaluation

Python · PyTorch · NLTK · NumPy · Pandas · Git · Linux · Jupyter · LaTeX

I am refining my AI/ML project portfolio and focusing on reproducible, well-documented machine learning projects.