Stefan Nica
Information Security Officer
Nuremberg, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolStefan Nica is an Information Security Officer and seasoned software engineer with over 15 years of experience spanning AI/ML, MLOps, DevOps, cloud-native systems, networking and virtualization. Based in Nuremberg, he combines hands-on engineering and architecture work with security stewardship at ZenML, where he also contributes as an MLOps engineer improving Kubeflow integrations, model deployment, drift detection and Evidently/Whylogs visualizations. His background includes architecting OpenStack and SDN/NFV solutions at SUSE and Luxoft, plus embedded and telecom protocol stacks earlier in his career, giving him rare depth across infrastructure, edge and ML stacks. A promoter of open source and DevOps culture, he thrives on complex challenges and practical innovations that bridge research and production.
9 years of coding experience
17 years of employment as a software developer
POLITEHNICA București National University for Science and Technology
English
Github Skills (13)
kubeflow10
kubernetes10
docker10
mlops10
python10
dockers10
kubernetes-pods10
data-validation9
great-expectations8
machine-learning8
data-profiling8
tensorflow7
sql7
Programming languages (12)
Github contributions (5)
zenml-io/zenml
Jan 2022 - Jan 2023
ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
Role in this project:
MLOps Engineer
MLOps EngineerContributions:18 releases, 1294 reviews, 515 commits in 1 year
Contributions summary:Stefan Nica primarily focused on improving the integration of the ZenML platform with Kubeflow and the deployment of machine learning models. His contributions included fixing prompt failures related to stack setup and orchestrator deployment, preventing timeouts during Kubeflow installation, and running KFP containers with local user/group permissions. Furthermore, he enhanced the platform by adding support for Evidently visualizers, including the modification of the evidently step to output a Dashboard and a Profile, in addition to implementing a visualizer for HTML reports, and added drift detection steps. He then added the functionality to include Whylogs data profiling and also created a simplified interface to use the technology from inside of the framework.
devops-toolspythonproduction-readytensorflowproduction
stefannica/crowbar-core
Mar 2017 - Apr 2020
Core deployment for Crowbar
Contributions:43 pushes, 33 branches in 3 years
deploymentdocker
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