Work
  • Ministerie van Defensie logo

    Data Platform/ Software Engineer

    Ministerie van Defensie Mar 2026 - Current

    Developing data pipeline infrastructure with Go, Kafka, and Kubernetes that powers internal communication systems across Defence, enabling reliable communication over a variety of protocols.

    Show

    The Ministerie van Defensie is the Dutch Ministry of Defence. Highlights include:

    • Data pipeline infrastructure in Go: designing and building the pipelines that move data reliably between Defence systems.
    • Event-driven architecture with Kafka: streaming data at the core of internal communication systems, built to be fault-tolerant and scalable.
    • Containerized on Kubernetes: resilient services deployed and operated on Defence infrastructure.
    • Protocol interoperability: enabling communication over a variety of protocols, so systems across Defence can exchange information seamlessly.
  • KPN logo

    Data Platform / Software Engineer

    KPN Nov 2022 - Feb 2026

    Designed and operated scalable, fault-tolerant event-driven services and data platform tooling for one of the largest telecom providers in the Netherlands.

    Show

    KPN is the leading telecom and IT provider in the Netherlands. Highlights include:

    • Event-driven architecture at scale: designed and implemented scalable, fault-tolerant services using Kafka, built to handle high availability and high data loads.
    • Microservices in Go and Rust, deployed with Docker and Nix to support a modern microservice architecture.
    • Building data platform tooling and CLI utilities that streamlined department workflows and service deployment, and enhanced encryption and PKI management processes.
  • DDi logo

    Machine Learning Engineer

    DDi Oct 2021 - Nov 2022

    Engineered AI-driven systems for smart document processing, integrating machine learning with reliable, scalable backend architectures.

    Show

    DDi builds intelligent automation for the insurance industry. Highlights include:

    • Custom NLP models and OCR pipelines to extract structured data from complex insurance documents, including low-quality PDFs.
    • Designing and deploying secure APIs and data workflows using CI/CD, automated testing, and containerized infrastructure.
    • Enforcing data privacy through automated depersonalization tooling, while contributing to applied ML research.
  • De Ree Holland logo

    Data Scientist

    De Ree Holland Dec 2020 - Oct 2021

    Analyzed and visualized performance and financial data of high-revenue companies, turning unstructured inputs into actionable insights.

    Show

    De Ree Holland is a leading flower bulb supplier. Highlights include:

    • Processed large datasets from documentation and interviews, transforming unstructured inputs into actionable insights using Python, in close collaboration with account managers.
    • Conducted statistical research to evaluate and apply effective analytical methods.
    • Delivered findings through structured reports and presentations, while developing data strategies to support key business decisions.