Work
  • Ministerie van Defensie logo

    Distributed Systems Engineer

    Ministerie van Defensie Sep 2025 - Current

    Designing distributed data pipeline infrastructure with Go, Kafka, and Kubernetes to keep Defence communication systems reliable across a variety of protocols.

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

    • Distributed data pipelines in Go: designing services that move data reliably between Defence systems, with failure handling and protocol boundaries treated as first-class concerns.
    • Event-driven architecture with Kafka: using durable streams to decouple producers and consumers while keeping internal communication scalable and fault-tolerant.
    • Resilient operations on Kubernetes: deploying and operating containerized services across Defence infrastructure.
    • Protocol interoperability: connecting systems over a variety of protocols so distributed services can exchange information seamlessly.
  • KPN logo

    Distributed Systems / Data Platform Engineer

    KPN Nov 2022 - Sep 2025

    Designing and operating distributed, fault-tolerant event-driven services and data platform tooling for one of the largest telecom providers in the Netherlands.

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

    • Kafka at scale: designed event-driven services around durable streams, high availability, and high data volumes.
    • Resilient microservices in Go and Rust: built independently deployable services with clear failure boundaries, packaged with Docker and Nix.
    • Data platform tooling: built CLI utilities that standardized service deployment and streamlined department workflows.
    • Secure distributed operations: enhanced encryption and PKI management processes for services operating across the platform.
  • DDi logo

    Machine Learning / Backend Engineer

    DDi Oct 2021 - Nov 2022

    Engineering production data and machine-learning systems for smart document processing, combining reliable APIs, scalable workflows, and secure containerized services.

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

    • Data-processing pipelines: built custom NLP models and OCR workflows to extract structured data from complex insurance documents, including low-quality PDFs.
    • Production reliability: designed and deployed secure APIs and containerized data workflows with CI/CD and automated testing.
    • Privacy by design: built automated depersonalization tooling and contributed to applied machine-learning research.
  • De Ree Holland logo

    Data Scientist

    De Ree Holland Dec 2020 - Oct 2021

    Building analytical data foundations for high-revenue companies, turning large, unstructured inputs into reliable insights for business decisions.

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

    • Data analysis at scale: processed large datasets from documentation and interviews, transforming unstructured inputs with Python.
    • Correctness through statistical research: evaluated analytical methods and validated findings before applying them to business questions.
    • Communicated data clearly: delivered structured reports and presentations while developing data strategies with account managers.