Nicolas Gelders
Software Engineer at Ravical
Ternat, Flemish Brabant, Belgium
Summary
🤩
Rockstar🎓
Top SchoolNicolas Gelders is a software engineer with six years of hands-on experience building and operating cloud-native data and GenAI backends for enterprise clients across Belgium. He has moved from data/platform engineering into GenAI infrastructure, deploying production systems on AWS and Azure using Terraform, Kubernetes, Docker and observability stacks like Prometheus/Grafana and OpenTelemetry. At dataroots he led technical efforts across Telenet, KBC and VRT, supporting both batch and streaming pipelines, MLOps workflows and CI/CD automation. Now at Ravical, he continues to focus on scalable backend and cloud engineering while bringing pragmatic tooling and infrastructure patterns to ML-driven products. Trained in industrial engineering with a specialization in image processing, he combines strong systems thinking with a developer-first approach to make complex data workflows reliable and maintainable. An engineer who often operates at the intersection of DevOps, data and ML, he’s equally comfortable writing Python services as codifying infrastructure.
6 years of coding experience
9 years of employment as a software developer
Master Master of Science in Industrial Engineering: ICT (Major: Image processing), Master Master of Science in Industrial Engineering: ICT (Major: Image processing) at Ghent University
Github Skills (22)
python10
collections10
aws-ecs9
aws7
terraform-module6
terraform6
cli5
jupyter-notebook5
notebook4
vscode4
metadata4
vscode-extension4
typer4
airflow4
dbt-cloud3
Programming languages (5)
Github contributions (5)
datarootsio/prefect-dbt-flow
Oct 2023 - Jul 2024
prefect integration for running dbt
Contributions:9 reviews, 31 PRs, 36 pushes in 8 months
datarootsio/terraform-aws-ecs-airflow
Oct 2020 - Feb 2021
A terraform module that creates an airflow instance in AWS ECS.
Contributions:5 reviews, 49 commits, 18 PRs in 4 months
ecsairflowterraformaws-ecsterraform-module
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