Mechanical Engineering graduate from ETH Zurich, specialised in Machine Learning and Robotics. Passionate about applying AI to real-world physical systems.
I hold a Bachelor's degree in Mechanical Engineering from EPFL (2019–2022), including an exchange year at La Sapienza in Rome, and a Master's degree in Mechanical Engineering from ETH Zurich (2022–2025), specialising in Machine Learning, Computer Vision and Robotics. My Master's thesis, carried out at the CREATE Lab at EPFL under the supervision of Prof. Josie Hughes and Prof. Marco Hutter, focused on leveraging large language models for physical reasoning and control of robotic arms. Alongside my studies, I completed an R&D internship at Flexis (Renault–Volvo joint venture, Paris), working on PLM/3DEXPERIENCE environments, a CO₂ assessment framework and internal AI adoption. I am currently looking for my first full-time position at the intersection of engineering and artificial intelligence. Outside of work, I enjoy hiking, ski touring, mountaineering and playing the piano.
Perception–reasoning–action framework using an LLM for physical prediction and control of a UR3 robotic arm, without task-specific fine-tuning.
Design, prototyping and testing of a microfluidic device for at-home blood analysis.
Life cycle analysis and environmental footprint of AirPods.
Finite element analysis of a bridge structure using SAP2000.
Complete design of a manual seed drill in CATIA and Fusion 360, respecting tolerances and manufacturing constraints, with FEM analysis of the digital twin.
Team case study on data centre urbanisation and energy recovery.
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