Giuseppe Ricci

MSc Mechanical Engineering | Product Development, Mechanical Design & CAE | Thermal-Fluid Systems & Industrial Applications

Greater Paris Metropolitan Region

About

MSc Mechanical Engineering student currently completing a double-degree/M2 year in Paris 🇫🇷 between Arts et Métiers and Sorbonne Université, focused on fluid dynamics, heat transfer and energy conversion machines. At LIFSE, I am working on a PEM fuel-cell hydrogen recirculation device, using STAR-CCM+, Python automation and simulation post-processing to compare design variants and support engineering decisions 💻 I am interested in the link between product development, mechanical design and simulation. My focus is on understanding how physical systems behave, improving components, and turning technical analysis into useful design criteria ⚙️ Technical areas I work with include CAE, thermal-fluid systems, mechanical systems, energy applications, rotating equipment, numerical analysis and engineering data analysis. Always happy to connect and exchange ideas 🤝

Experience

  • CFD Engineer Intern at LIFSE
    Mar 2026 - Present · 5 mos

    - Applied CAE workflows to analyze a PEM fuel-cell hydrogen recirculation device, relating geometry and operating conditions to mass flow, pressure build-up and loss mechanisms. - Built a parametric design-to-simulation pipeline with FreeCAD, STAR-CCM+ and Java macros to generate variants, automate setup tasks and compare configurations. - Automated Python-based post-processing, quality checks and visualization, using surrogate modeling and NSGA-II-assisted screening to prioritize candidate geometries for further validation.

  • Structural Dynamics Intern at Politecnico di Bari
    Apr 2024 - Jul 2024 · 4 mos

    - Applied modal analysis and dynamic identification techniques to investigate the vibration behaviour of mechanical systems. - Developed MATLAB and COMSOL models of discrete systems and a simply supported beam benchmark for natural frequency and modal response analysis. - Processed vibration data using time-domain and PSD analysis, validating identified modal frequencies against numerical simulations.