Anton 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 Dresden
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Instituto Superior Técnico
Contributions:169 commits, 5 pushes, 5 issues in 3 months
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