Arjaan Buijk, Natural Language Processing (NLP) Developer in Plymouth, MI, United States
Arjaan Buijk

Natural Language Processing (NLP) Developer in Plymouth, MI, United States

Member since December 19, 2017
For over 30 years, Arjaan's been developing software and deploying solutions, as a Rasa Solutions Engineer, where he designs, builds, and deploys chatbots created with Rasa Open Source and Rasa X. His expertise lies in Python, deep learning, and cloud deployments. Arjaan has certifications in deep learning, Kubernetes, self-driving cars, and full-stack web development.
Arjaan is now available for hire




Plymouth, MI, United States



Preferred Environment

Pandas,, Python

The most amazing...

...project I've recently completed was building a chatbot with Rasa and Elasticsearch.


  • Solutions Engineer (NLP)

    2019 - PRESENT
    Rasa Technologies, Inc.
    • Supported enterprise customers by implementing and deploying mission-critical chatbots built with Rasa.
    • Designed and implemented NLU data, dialog stories, forms, and custom actions (Python) for a demonstration chatbot based on Rasa Open Source.
    • Extended Rasa Open Source (Python).
    Technologies: Google Cloud Platform (GCP), Helm, Kubernetes, Docker, Python,
  • Software Engineer

    1988 - 2019
    PISCES | MSC Software | Simufact Engineering
    • Developed finite element and finite volume simulation software in Python, C++, and Fortran.
    • Defined software requirements.
    • Designed GUI workflows and dialogs.
    • Developed solver algorithms.
    • Performed presales demonstrations and presentations.
    • Provided customer training and support.
    • Worked on sales and business development.
    Technologies: Fortran, C++, Python
  • Founder | Owner

    2008 - 2014
    Simufact-Americas, LLC
    • Founded a company for the resale of simulation software that I co-developed.
    • Achieved a 20-fold increase in revenue for the Americas region.
    • Used Python to automate business processes; for example, reformatting the Salesforce forecast reports.
    Technologies: Python


  • Rasa Open Source-based Demonstration Chatbot (Development)

    I designed and implemented NLU data, dialog stories, forms and custom actions (Python) for a demonstration chatbot, based on Rasa Open Source.

  • Use of Deep Learning to Clone Driving Behavior (Development)

    I developed a convolutional neural network regression in Python using Keras with a TensorFlow back end to drive a car virtually around a track. I improved on the well-known NVIDIA neural network for end-to-end deep learning for self-driving cars and achieved a 100% success rate on the most difficult track.

  • Flask Catalog (Development)

    This portfolio project demonstrates a Flask-based implementation of a secure user model with registration, email confirmation, and Google OAuth 2 login, combined with an example of a catalog of items that are grouped in categories.

    Registered users can CRUD the catalog via a web front-end or via a REST API that adheres strictly to the JSON API 1.0 specification. The REST API supports advanced searching and filtering. End-to-end scenarios are demonstrated via a Python client written in a Jupyter notebook.


  • Languages

    Python, C++, Fortran
  • Libraries/APIs

    NumPy, Keras, Pandas, Sklearn, TensorFlow, Matplotlib, OpenCV
  • Tools, GitHub, Wingware IDE, Google Kubernetes Engine (GKE), Helm, AWS Glue
  • Platforms

    Jupyter Notebook, MacOS, Kubernetes, Ubuntu, Windows, Linux, OpenShift, Docker, Google Cloud Platform (GCP), Heroku
  • Other

    Chatbots, Natural Language Processing (NLP), GitKraken, DevOps Engineer, Sanic Web Server
  • Storage

    Elasticsearch, MongoDB, PostgreSQL
  • Frameworks



  • Nanodegree in Full-stack Web Development
    2018 - 2018
    Udacity - Online
  • Nanodegree in Self-driving Car Engineer
    2017 - 2017
    Udacity - Online
  • Master's degree in Aerospace Engineering (CFD)
    1982 - 1988
    Delft University of Technology - Delft, the Netherlands


  • Google Kubernetes Engine
    Google via Coursera
  • Deep Learning
    JANUARY 2019 - PRESENT via Coursera
  • MongoDB for Developers
    MongoDB University
  • Retrieving, Processing, and Visualizing Data with Python

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