Data & DevOps Engineer | M.Sc. Computer Science
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kubernetes-mosquitto
June 24, 2024 – June 28, 2024
Deploy a Mosquitto MQTT broker on a Kubernetes cluster
View Projectkubernetes-slurm-evaluation
November 12, 2023 – June 28, 2024
Evaluate projects that integrate Kubernetes and Slurm
View Projectdocker-gitlab-runner
April 19, 2023 – April 23, 2023
Run a Gitlab runner inside a Docker container
View Projectk3s-rootless
March 30, 2023 – April 24, 2023
Set up a rootless Kubernetes cluster using K3S
View Projectdocker-graylog
March 15, 2023 – May 5, 2025
Setup with Graylog, OpenSearch, and Filebeat all running in Docker containers.
View Projectkubernetes-dolibarr
March 3, 2023 – September 4, 2023
Run Dolibarr in a Kubernetes cluster
View Projectdocker-traefik-dolibarr
April 5, 2020 – September 30, 2022
Setup for Dolibarr running inside Docker connected to Traefik (reverse proxy)
View ProjectBlender-Music-Visualisation-Python-Script
August 24, 2016 – January 26, 2025
Blender-Music-Visualisation-Python-Script — Dev.to repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong inclination towards infrastructure, DevOps, and automation. While the target role is 'Data Scientist', the projects lean heavily towards MLOps/DevOps aspects rather than core data science algorithms or statistical modeling. This suggests a potential fit for roles that bridge data science with infrastructure, but a less direct fit for pure data science roles. The diversity of tools used (Docker, Kubernetes, Python, Shell, C++) indicates a broad technical curiosity.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but no direct communication or collaboration examples are provided.