Intro
- Machine Learning Engineer at Nebul, focused on platforms, deployment and inference.
- MSc (Mar 2025) in High Performance Computing Engineering, Politecnico di Milano.
- Former ML Research Engineer Intern at Siemens DISW and contributor to Project Numina.
- Interested in Scientific ML and AI for Mathematics.
Work Experience
ML Research Engineer Intern
Oct 2024 – Mar 2025Siemens Digital Industries Software
Open-Source Contributor
Aug 2024 – Jan 2025Project Numina
Education
MSc High Performance Computing Engineering
Mar 2023 – Mar 2025Politecnico di Milano, Italy
BSc Mathematical Engineering
Sept 2019 – Sept 2022Politecnico di Milano, Italy
Papers
Projects
-
C++ & CUDA Parallel Monte Carlo Methods
Report -
Finite Elements for Neurodegenerative Diseases
Report -
Time Series Forecasting with Deep Learning
Report -
CNN for Plant Health Identification
Report - ROM with POD-Neural Network & POD-Galerkin for Parabolic BV Problems
-
Deep Learning ROM for the Unsteady Navier-Stokes Equation
Report
Lecture Notes
Technical Skills
- Programming: Python, C/C++, CUDA
- ML Libraries: PyTorch, vLLM, LiteLLM, TensorFlow, Keras
- Infrastructure: Docker, Kubernetes, Helm, GitOps
- Distributed: OpenMP, MPI, PyTorch DDP
- Tools: Git, Jenkins, CMake