About Me
AI engineer.
Software engineer.
Neural engineer.
I am an AI engineer with a curious and driven mindset, a background in Computer Science, and a PhD in Biorobotics.
My experience sits at the intersection of artificial intelligence, software engineering, and scientific research, with a focus on applying AI to challenging real-world problems.
Currently, I develop and deploy LLM-powered agents for banking support and data analysis, working with generative AI, LangGraph, RAG, and context engineering.
Previously, during my PhD research, I developed deep learning methods for biomedical signal processing and neural decoding, working with brain and muscle signals
and conducting experimental research with people with spinal cord injury.
I am particularly interested in building reliable AI systems and exploring how modern AI technologies can be applied to high-impact domains,
from scientific and healthcare applications to complex industrial problems.
1
+
Years of AI engineering experience
5
+
Years of research
4
#
Peer-reviewed papers
My Tech Stack
Resume
Education & Experience
PhD in Biorobotics
@ Sant’Anna School of Advanced StudiesMaster Degree of Computer Science
@ University of TorinoBachelor Degree of Computer Science
@ University of PadovaAI & Software engineer
@ ION GroupPhD in Biorobotics
@ Sant’Anna School of Advanced StudiesVisiting PhD in Biomedical engineering
@ University of MichiganAI engineer intern
@ Cynexo & SISSAAI engineer intern
@ ZextrasWeb developer
@ TecnobitAwards
My Awards & Achievements
Important awards and achievements that I have received throughout my career.
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Best paper award
Best paper presented by a young researcher
I received this award at the international conference IEEE MetroXRAINE 2023. This award recognizes the most outstanding paper presented by a Young Researcher at IEEE MetroXRAINE 2023. Paper title: 'EEG based self-paced decoding of upper-limb movement intention in healthy subjects'.
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Recipient of the prestigious 2024 Zegna Scholarship, which funded my 8-month research stay at the University of Michigan (USA), supporting advanced work on Brain and Body Machine Interfaces (BMI) using implantable signal sources for neuroprosthetic applications.
Publications
Latest publications
Here are some of my latest peer-reviewed publications in scientific journals where I contributed significantly as the first or co-first author.
2026, Journal of Neural Engineering
Easy-to-use EMG system to decode hand movements in people with spinal cord injury
Read more
2025, IEEE Transactions on Medical Robotics and Bionics
The Effect of User Learning for Online EEG Decoding of Upper-Limb Movement Intention
Read more2024, IEEE Transactions on Neural Systems and Rehabilitation Engineering
A virtual reality based-protocol to determine the preferred control strategy for hand neuroprostheses in people with paralysis
Read more
2024, Journal of NeuroEngineering and Rehabilitation
Immersive VR for upper-extremity rehabilitation in patients with neurological disorders: a scoping review
Read moreBlog
Side projects
A selection of noteworthy projects I have undertaken in my spare time or outside regular working hours, including personal initiatives and non-work-related endeavors.
