I’m a backend engineer focused on Go, Python, APIs, cloud-native infrastructure, and production reliability.
I work on backend services that need to be maintainable, observable, and reliable in production. My experience spans telecom, government, and fintech environments, with systems running on AWS, Kubernetes, Terraform, PostgreSQL, and CI/CD pipelines.
I’m interested in backend systems that stay maintainable as they grow: clear interfaces, predictable behaviour, and enough observability to understand them in production.
- Languages: Go, Python
- Backend: REST APIs, microservices, async processing
- Databases: PostgreSQL, SQL, Redis
- Cloud and Infrastructure: AWS, Terraform, Linux
- Containers and Deployment: Docker, Kubernetes, Helm, CI/CD
- Observability: Prometheus, Grafana, Loki, logging, alerting
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clientip Security-focused Go library for extracting client IPs behind trusted proxies, with Prometheus metrics, tests, and benchmarks.
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AI-powered WBSO subsidy application platform Go backend and infrastructure for a platform that helps draft Dutch WBSO subsidy applications, including CI/CD, monitoring, and deployment setup.
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Self-hosted Kubernetes environment Personal Kubernetes platform using Talos OS, Hetzner, Terraform, Flux/GitOps, and observability tooling.
- Building production Go services in a telecom environment
- Improving backend reliability, observability, and maintainability
- Deepening my knowledge of Kubernetes, infrastructure automation, and distributed systems
- Using AI-assisted tooling where it improves development speed and quality



