Florian Lacrampe
SRE Thales Alenia Space
Toulouse, Occitania, France
Summary
👤
Senior🎓
Top SchoolFlorian Lacrampe is an experienced SRE and cloud consultant with 12 years building and operating Linux-first infrastructures for clients in aerospace and public sectors from Toulouse. He currently manages virtualized VMware estates, NSX-T networking, Terraform automation and production Kubernetes clusters (RKE2/Rancher) at Thales Alenia Space while maintaining CI/CD and artifact forges like GitLab, JFrog and Harbor. His background includes hands-on migrations to Kubernetes, CEPH integration on OVH, Velero backups on object storage and OCI image optimization—work reflected in DevOps contributions to projects like Jolibrain/deepdetect. A long-time self-hosting advocate, Florian follows European cloud providers closely and balances practical automation (Ansible, Bash/Python, ArgoCD) with a privacy-minded approach to platform choices. He combines operational rigor with developer-facing tooling and training experience, having delivered complex Helm deployments and Docker/Kubernetes workshops to professional teams.
12 years of coding experience
Manager des systèmes d'information Programmation / développeur informatique général, Manager des systèmes d'information Programmation / développeur informatique général at CESI Ecole d'Ingénieurs
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (16)
ubuntu10
bash10
docker10
dockers10
build-automation10
cicd9
gpu9
deep-learning8
machine-learning8
cprogramming-language7
tensorflow7
pytorch7
c-language7
tensorrt6
caffe6
Programming languages (12)
Github contributions (5)
jolibrain/deepdetect
Feb 2020 - May 2020
Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Role in this project:
DevOps Engineer
DevOps EngineerContributions:6 commits, 3 PRs, 23 comments in 3 months
Contributions summary:Florian's commits primarily focused on optimizing and updating Docker images used for the Deepdetect project. They implemented changes to the `build.sh` script to improve build processes, and revised Dockerfiles, including those for CPU, GPU, and ARM architectures, to update base images to Ubuntu 18.04. These changes included installing necessary dependencies and fixing installation issues, demonstrating a focus on build automation and infrastructure management for this deep learning project.
xgboostncnnimage-segmentationneural-netsvisual-recognition
quadeare/docker-aria2-pydio-seedbox
May 2016 - Jun 2016
Contributions:40 commits, 39 pushes, 1 branch in 20 days
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