Nice to meet you!
I'm Matteo.

MSc in Artificial Intelligence @ University of Bologna

Completed Master's degree with thesis project at ETH Zürich on Foundation Models for EMG-based human-machine interfaces. Specialized in deep learning, transformers, and adversarial machine learning.

Master Thesis Project - Foundation Models for sEMG @ ETH Zürich

Pretrained foundation models for surface electromyography (sEMG) biosignals using advanced transformer-based architectures including Vision Transformers (ViT), Channel-ViT, and ViT-MAE variants.

Key contributions: Efficient attention mechanisms, mixed-precision training, downstream evaluations across gesture classification, finger movement estimation, silent speech recognition, and voiced-silent speech discrimination.

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.

Outcome: Advanced hands-on experience in embedded systems architecture and real-world applications for users with special needs.

MSc in Artificial Intelligence @ University of Bologna

Advanced coursework in AI, machine learning, and deep learning. Developed expertise in transformers, adversarial ML, and research methodologies. Published work on subjectivity detection in news articles (CLEF 2025).

Back End Developer @ Polimatica

Curricular internship gaining hands-on experience with cloud platforms (DigitalOcean, AWS) and modern web technologies.

Skills acquired: PHP, AngularJS, MySQL, cloud architecture, and backend web services management.

BSc in Computer Science @ LUMSA University

Graduated with focus on Data Science and neural network optimization. Thesis: "Evaluation and Modeling of Timing Performance of Neural Networks on Versal AI Engine."

Research focus: Neural network performance analysis under resource contention on specialized hardware.

High School Diploma in Science @ Liceo Scientifico Gianbattista Morgagni, Rome

Foundation in science and mathematics. Recipient of Campus STEM: Robotics award.