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Joel Van Der HoevenJV

Joel Van Der Hoeven

AI Automation Engineer

€ 450/dag
Gouda, NL
3-7 jaar

Gemiddelde responstijd: 1 uur

Over Joel

AI Automation Engineer specialized in turning complex operational processes into reliable, production-ready systems.

I design and build AI-driven automations that replace manual work with predictable, scalable workflows. My focus is not on demos or experiments, but on systems that run daily without breaking, even when data is messy or requirements change. I have built end-to-end invoice and document processing pipelines reaching approximately 99% extraction accuracy, Retrieval-Augmented Generation systems for large document collections, and AI-powered integrations between email, CRM systems, APIs, and internal dashboards. These solutions eliminate manual data entry, improve data consistency, and give non-technical teams clear visibility and control over their processes.

Clients value my ability to translate vague operational needs into clear technical solutions, with strong attention to data validation, error handling, and long-term maintainability. I work in a structured way, communicate clearly with both technical and non-technical stakeholders, and design systems that are easy to maintain, extend, and explain. I typically work with companies looking to reduce operational overhead, automate document-heavy or data-intensive workflows, and integrate AI into existing systems without disrupting daily operations.

If you are looking for someone who can design, build, and think along with your business rather than simply execute instructions, I am happy to explore how AI automation can support your processes.
  • Nederlands

    Tweetalig / moedertaal

  • Engels

    Vloeiend

Kan op locatie werken
Gouda (tot 50km)

Werkervaring

  • Freelance / Multiple client
    AI Automation Engineer
    DIGITAAL BUREAU & IT-CONSULTANCY
    januari 2023 - Vandaag (3 jaren en 5 maanden)
    I design and build production-ready AI automation systems that replace manual operational work with reliable, scalable workflows. My focus is on predictability, data quality, and maintainability rather than experimental prototypes.

    Key projects and responsibilities include:

    AI-powered invoice & document automation
    Built an end-to-end system that processes incoming invoices received via email, extracts structured data from PDF attachments, validates key fields, and automatically registers records in a CRM system.
    Achieved ~99% extraction accuracy, significantly reducing manual data entry and follow-up work.

    Retrieval-Augmented Generation (RAG) systems for large document sets
    Designed RAG architectures to enable fast, reliable information retrieval from large file repositories. Focused on structured chunking, semantic search, and controlled context injection for consistent outputs.

    Workflow automation & system integration
    Implemented automation pipelines connecting email systems, APIs, databases, and internal dashboards. Emphasis on clear validation rules, logging, and error handling to ensure stable long-term operation.

    AI-driven internal tools & dashboards
    Built internal tools that provide visibility into document processing, trends, exceptions, and system performance for non-technical users.

    Across all projects, I work closely with stakeholders to translate vague operational needs into clear technical solutions, document systems thoroughly, and ensure they remain easy to maintain as requirements evolve.
    Workflow automation AI Automation Retrieval-Augmented Generation (RAG) Python

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