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Software & AI Engineer

I build AI systems that hold up in production — agents, pipelines and the evaluation to prove they work.

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Jordi Boon — Software & AI Engineer
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Profile

Software & AI Engineer with an MSc in Software Engineering from the University of Amsterdam and hands-on experience building backend and AI systems in business-critical environments. Comfortable with Python, cloud and DevOps (Azure, Docker, Kubernetes) and applied AI (RAG, Microsoft Foundry, multi-agent workflows) in Scrum teams. Looking for an ambitious environment where there is a lot to learn and real impact to make.

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Experience

  1. Nh1816 Verzekeringen

    Full-time

    Oudkarspel, Netherlands · Apr 2025 – Present

    AI Engineer

    Nov 2025 – Present
    • Design and build a multi-platform AI advisory chatbot on Microsoft Foundry, driven by a multi-agent workflow, as part of a Scrum team.
    • Set up secure MCP servers and vector stores that let agents query customer and policy data on demand for more accurate, context-aware advice.
    • Implemented monitoring of agent interactions, enabling continuous feedback loops and targeted optimisation of system prompts.
    • Built an event-driven pipeline that automatically analyses and assesses insurance claims across multiple products, saving the equivalent of 2 FTE.
    • Established an evaluation framework that measures the quality of agent output using a golden set and LLM-as-a-judge.

    Backend Developer

    Apr 2025 – Nov 2025
    • Developed REST APIs for large-scale portfolio transfers compliant with AFD 2, the national Dutch insurance data-exchange standard, within a Scrum team.
    • Configured Azure API Management as a secure gateway and handled technical onboarding of external partners, contributing to 15% premium growth.

  2. University of Amsterdam — Multiscale Networked Systems

    Thesis

    Amsterdam, Netherlands · Apr 2024 – Aug 2024

    Master’s Thesis, Software Engineering

    Grade 8.0/10
    Apr 2024 – Aug 2024
    • Researched and implemented a Python system with an ANTLR parser that automatically detects the inputs and outputs of R code cells in Jupyter Notebooks through variable and data-type analysis, enabling containerisation of cloud workflows.
    • Built a dynamic front end in TypeScript and React for visual interaction within the NaaVRE platform.

  3. RTL Nederland

    Internship

    Hilversum, Netherlands · Apr 2023 – Jun 2023

    Bachelor’s Graduation Internship

    Grade 8.0/10
    Apr 2023 – Jun 2023
    • Implemented an Explainable AI (XAI) visualisation system for RTL’s VideoPipe AI pipeline to make internal data processes more transparent.
    • The system improved understanding and transparency of the AI pipeline within the RTL News team, confirmed through an internal survey.
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Education & Certifications

Education

  1. University of Amsterdam

    Grade 7.89/10

    Amsterdam, Netherlands · Sep 2023 – Aug 2024

    MSc Software Engineering

  2. University of Amsterdam

    Grade 7.49/10

    Amsterdam, Netherlands · Sep 2020 – Jul 2023

    BSc Computer Science

  3. Amsterdam University of Applied Sciences

    Amsterdam, Netherlands · Sep 2019 – Jul 2020

    Propedeuse Computer Engineering

  4. RSG Enkhuizen

    Enkhuizen, Netherlands · Sep 2013 – Jul 2019

    Secondary Education (VMBO & HAVO)

Certifications

  • Microsoft Certified: Azure AI Fundamentals (AI-901)

    Microsoft · Jul 2026

  • AWS Academy Cloud Foundations

    Amazon Web Services · Feb 2024

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Skills

Bar length is proficiency. Click any skill to see everywhere I have used it.

Programming Languages

Frameworks

Libraries

Cloud & DevOps

AI, Data & Tooling

Languages

English — FluentDutch — Native
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Projects

DevOps & Cloud Infrastructure

Jan – Apr 2024

Migrated a monolith to Azure Kubernetes Service, with CI/CD and infrastructure as code.

  • Migrated a monolithic application to Azure Kubernetes Service (AKS) within a DevOps team, using Python Flask and Docker for parallel processing, monitored with Prometheus and Grafana.
  • Set up CI/CD pipelines (GitHub Actions) and Ansible for automated infrastructure provisioning.

Requirements Engineering Project

Sep 2023 - Dec 2023

Elicited requirements for a new system for the Ministry of the Interior and Kingdom Relations to make documents published by the Wet open overheid accessible.

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Get in touch

Looking for someone who can take an AI system from prototype to production? Let’s talk.

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Based in Enkhuizen, Noord-Holland · Open to relocation