Anton Helm
Enterprise Architect at Capgemini
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolAnton Helm is an Infrastructure Data Manager and HPC specialist with a decade of experience optimizing large-scale compute workloads, AI frameworks, and DevOps pipelines across cloud and on-prem environments. He has tuned distributed applications to run efficiently at 2,000+ node scale, profiled GPU and CPU workloads with tools like Nsight, VTune and perf, and built hardened AWS AMIs and IAM setups for production HPC datacenters. His background spans research-grade scientific computing—where he managed a 600-node cluster and processed terabyte-scale simulation datasets—to industry roles delivering performance engineering for NVIDIA, AMD and Intel platforms. Anton combines hands-on systems work (Ansible, Slurm, MPI, Kubernetes, Docker) with scripting and automation in Python, enabling repeatable deployments and measurable performance gains. Currently assigned to Capgemini working on HPC for Airbus, he brings a rare mix of academic rigor from a PhD in Physics and practical engineering that accelerates AI model and application performance across architectures.
10 years of coding experience
4 years of employment as a software developer
Master's degree Physics, Master's degree Physics at Technische Universität DresdenDoctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Instituto Superior Técnico
German, Russian, Portuguese, English
Github Skills (23)
algorithm10
visualization10
python10
post-processing10
scientific-visualization10
algorithms9
sorting-algorithms8
oop8
pylance7
autocomplete7
latex7
language-server7
boilerplate6
code-analysis6
language-server-protocol6
Programming languages (6)
Github contributions (5)
ahelm/wusa
Dec 2020 - Mar 2021
Contributions:169 commits, 5 pushes, 5 issues in 3 months
GoLP-IST/nata
Dec 2019 - May 2021
Python visualization and post-processing library for particle-in-cell codes
Contributions:3 releases, 425 commits, 50 PRs in 1 year 6 months
pythonvisualizationparticle-in-cellscientific-visualizationpost-processing
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