Professional Summary
Passionate data scientist and data engineer, interested in applied research. Experience in advancing intelligent systems taking inspiration from the brain. Strong background in machine learning, deep learning, data engineering, statistical and mathematical modeling, with pioneering work in RAG systems and spiking neural networks.
Professional Experience
Computational neuroscience researcher
May 2025 - Aug 2025Investigated brain-inspired AI models in world-class research institute, focusing on computational efficiency in spiking neural networks. Increased model efficiency by 40%. Focus on biological principles, PyTorch, Git, Latex, Matplotlib, scientific writing and visualization, neuromorphic AI, statistical modeling.
Undergraduate researcher
Oct 2023 - Oct 2024Worked for both SMILIES Lab and Links Foundation in European project B-Cratos, to make neuroprosthetics clinically viable. Focus on novel neural signal processing and deep learning techniques. SciPy, PyTorch, Pandas, Numpy, h5py, Git, Singularity, Latex, Matplotlib.
Data science intern
Nov 2022 - May 2023Contributed to various data science projects, including data pipelines and RAG systems, focusing on machine learning, data engineering and data analysis. PyTorch, Scikit-learn, XGBoost, R, SQL, Docker, Streamlit and data visualization tools.
Education
M.Sc. Data science and engineering
Oct 2020 - Oct 2024B.Sc. Software Engineering
Oct 2015 - Jul 2020Key Projects
Novel neuron for spiking neural networks
Developed novel neuron model, improving computational efficiency by 40% while maintaining state of the art accuracy. Strong focus on translating biological primitives.
Real-time AI powered brain signal decoding
Master's thesis: Decoding primary motor cortex activity using spiking neural networks. Part of European B-cratos project, focused on real-time, edge-computing solutions for neuroprosthetics.
Pioneering RAG System
Developed one of the first industrial RAG systems, in early 2023, with document retrieval pipeline using vector embeddings, openAI API, and semantic search for AI-powered question answering.
Technical Skills
Programming
ML & Deep Learning
Data & Analytics
Big Data & Databases
DevOps & Tools
Beyond the Lab
Competitive Rowing & Dragon Boat
Represented Politecnico di Torino at international regatta in China. Team sports taught me precision, timing, and trust in collaborative environments.
Community Engagement
Active volunteer with AIESEC promoting cultural exchange, Sant'Egidio Community feeding and comforting homeless people, and Kolbe ASD as snowboard guide and organizer.
Mountain Sports
Passionate snowboarder and climbing enthusiast. Balance analytical thinking with adventure and physical challenge.
References
Friedemann Zenke
Assistant Professor and Group Leader
FMI, UniBas
Stefano Di Carlo
Full Professor and SMILIES Lab Leader
Politecnico di Torino
Marco Broggio
Chief Solutions Officer
Intesa SpA
Paolo Viviani
Senior Researcher
Links Foundation