A brief overview of my academic and professional journey so far.
MSc in Artificial Intelligence @ University of Bologna
Master degree in AI with focus on Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision.
Master Thesis - Foundation Model for EMG signals @ ETH Zürich
Pretraining and evaluation of foundation model for surface electromyography (sEMG) biosignals using transformer-based architectures based on Vision Transformers (ViT).
Key contributions: Efficient tokenization mechanism, downstream evaluations across gesture classification, finger joint angles regression, silent speech synthesis and recognition.
Tier 2 Coder for AI Training @ Outlier AI
Generated high-quality supervised fine-tuning data by designing challenging prompts to elicit failure cases from state-of-the-art models, then manually refined outputs for functional correctness.
Focus areas: RAG optimization, solution reasoning, test case development, and bug fixing in Python and C/C++.
AI Model Trainer & Multimodal Data Contributor @ Outlier AI
Contributed to Genesis Multimodal project focused on safe and effective alignment of MLLMs through RLHF. Designed evaluation protocols and assessed model outputs for ethical compliance, safety, and fairness.
Expertise: LLM alignment, responsible AI principles, multimodal AI system evaluation.
Research Fellowship - Embedded Systems for Assistive Technologies @ University of L'Aquila
Conducted research on Versal VCK190 embedded systems (AMD/Xilinx), designing innovative solutions for accessibility and assistive technologies.
Research focus: Advanced hands-on experience in embedded systems architecture and real-world applications for users with special needs.
BSc in Computer Science @ LUMSA University
Bachelor degree in Computer Science with focus on Data Science and Data Management.
Back End Developer @ Polimatica
Curricular internship gaining hands-on experience with cloud platforms (DigitalOcean, AWS) and modern web technologies.
Skills acquired: PHP, AngularJS, MySQL, RabbitMQ, cloud architecture, and backend web services management.
High School Diploma in Science @ Liceo Scientifico Gianbattista Morgagni, Rome, Italy
Foundation in science and mathematics. Recipient of Campus STEM: Robotics award.
A selection of my recent works and contributions, including personal projects, collaborations, and open-source contributions.

Designed and developed a robust evaluation pipeline for adversarial attacks and defenses in medical image classification systems, focusing on ethical AI deployment in healthcare.
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Submission at CLEF 2025 CheckThat! Lab. Task 1: Subjectivity Detection in News Articles.
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ECG-based detection of Chagas disease using classic machine learning and deep learning models.
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Sexism detection in social media using LSTMs, Transformers and In-Context Learning (zero-shot and few-shot).
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Multilayer Network Analysis of Milan Public Transport System (metro, bus, tram).
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Using Transformers to reconstruct sentences from shuffled words.
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From AI tools to TikTok video creation using FFMPEG, Microsoft Edge read aloud and OpenAI Whisper model.
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A Bayesian Network model to predict the presence of heart disease in patients.
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An image search engine using Weaviate and Streamlit.
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A scalable web application using R Shiny, Docker, and Ansible.
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A recommendation system for H&M fashion products.
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An in-depth analysis of Netflix movies and TV shows.
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An analysis of Italian wine using clustering and Finite Mixture Models.
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An analysis of Primary Biliary Cholangitis using clustering and classification.
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