Skip to main content

CV

HPC & Cloud Specialist at the Leibniz Supercomputing Centre in Munich. Physics background, Julia enthusiast.

Download as PDF ↗

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 emcee package.

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.


Prefer the original one-page layout? Here it is — click the preview to open it full size in a new tab, or download the PDF.

Curriculum vitae of Matteo Foglieni
Updated June 2026 · open full page (PDF)