- GenAI Developer & Cloud Engineer — Building intelligent systems and cloud infrastructure
- Architecting Agentic AI solutions and consulting on GenAI use cases across the business
- Passionate about the Energy Transition, smart grids, and home energy automation
- Based in Utrecht, the Netherlands
I focus on architecting autonomous AI systems — not just prompting, but orchestrating AI components to perform real work:
- Multi-Agent Architectures — Designing systems where AI workers collaborate, delegate, and maintain state
- Model Context Protocol (MCP) — Connecting LLMs to local files, APIs, and tools so they can act, not just respond
- Low-Code Integration — Using Azure Logic Apps as the orchestration layer for AI workflows
- Local & Open Source Models — Experimenting with Qwen, Gemini Flash, and other models for specialized tasks
Building and deploying complex environments with automation-first principles:
- IaC Mastery — Azure Bicep & Terraform for reproducible, testable infrastructure
- Azure Virtual Desktop — Automated deployments with Terraform
- Cost Optimization — Tools for SPOT pricing, resource cleanup, and efficient cloud spend
- Self-Hosted Kubernetes — Alternative approaches beyond managed services
A deep technical interest in smart grids and the Dutch energy market:
- Home Battery Systems — Victron inverters, LFP batteries, Power Assist for load management
- Dynamic Pricing Automation — Systems that charge when prices are negative, discharge when expensive
- Grid Congestion Analysis — Tracking netcongestie and capacity issues in the Netherlands
- Languages:
- Cloud & IaC:
- AI/ML:
- Tools:
- Offensive Security Certified Professional (OSCP)
- Microsoft Azure Administrator (AZ-104)
- Microsoft Azure AI Fundamentals (AI-900)
- AI Agents Fundamentals - Hugging Face
- Fundamentals of MCP - Hugging Face
- Currently pursuing: Microsoft Azure AI Engineer (AI-102)
Building the future with Agentic AI, Cloud Engineering, and a passion for the Energy Transition.