CV
HPC & Cloud Specialist at the Leibniz Supercomputing Centre in Munich. Physics background, Julia enthusiast.
Experience
HPC & Cloud SpecialistOct 2022 – present
Leibniz Supercomputing Centre (LRZ)Garching bei München, DE
- Administered and maintained 5+ clusters of Rocky and Ubuntu virtual machines on the LRZ OpenStack Compute Cloud, provisioning scalable environments for teaching and research.
- Automated infrastructure deployment and configuration management with Ansible, Terraform and Magic Castle.
- Managed Kubernetes clusters (RKE/RKE2 with Docker/containerd as container runtime) via Rancher Fleet for CI/CD.
- Set up Apache2, ufw and a Caddy reverse proxy, with automated SSL certificates via ACME and Certbot.
- Configured custom Jupyter IDE containers integrated with XFS and NFS for persistent user storage.
- Maintained 2 Slurm clusters, overseeing software-stack provisioning via Spack, EESSI and Conda environments.
- Applied Julia’s KernelAbstractions.jl for backend-agnostic GPU offloading in GaPSE.jl.
- Worked with High-Performance Computing paradigms (OpenMP, MPI) and hardware architectures (e.g. ccNUMA domains).
- Troubleshot network configurations with netcat, Wireshark and tcptraceroute.
- Main LRZ instructor for the course Introduction to Julia (Jun 2026).
- Supported dozens of training courses hosted on these clusters, with 10 to 70 participants each.
Education
Master’s Degree in Physics · 110/110 cum laudeSept 2019 – July 2022
University of MilanMilan, IT
- Thesis: The Galaxy Number Counts in General Relativity: implications for Primordial Non-Gaussianities — developed the Julia code GaPSE.jl.
- Relevant coursework: implemented ray-tracing software for photorealistic image generation.
- Data analysis: Bayesian inference and Markov-Chain Monte Carlo methods in Python with the
emceepackage.
Bachelor’s Degree in Physics · 110/110 cum laudeSept 2016 – Dec 2019
University of MilanMilan, IT
- Thesis: Evaluation of the Two-Point Correlation Function in cosmological simulations — computed astrophysical metrics in C++ leveraging STL containers.
Languages
Italian — native · English — fluent (C1) · German — intermediate (B1/B2)
Publications and talks are on the Publications page.
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