AI Advisory and Consulting

Noon giving a presentation!

Reach out if you are looking for some support with specific AI projects or activities.


Noon van der Silk is the founder of Braneshop and lead trainer.

Noon has 19+ years experience in various forms of software engineering, application development, and the design and implementation of machine learning + AI systems. Within AI he has a special interest in the field of computer vision and interactive art.

Noon has a research background, obtaining a Masters in Pure Mathematics, with a focus on quantum computing.

Noon is particularly passionate about empowering people through skill development.


Noon's experience has been mostly focused on mid-sized startups, large enterprises, and within innovation teams. You can find more detail here in his resume.

Below is a sample of ways with which Noon has helped businesses in the past.

AI Strategy

  • Establishing workflows around AI tools and techniques,
  • Running AI sprints to design new products or processes,
  • Ideation of AI strategy for organisations,
  • Advisory on strategic AI usage within organisations,
  • Hiring teams for successful AI implementation,
  • Educating teams to improve AI literacy, innovation, and engagement across organisations,
  • Solving complex problems with innovative techniques and tools.

Model Research & Development

  • Building new and debugging existing models,
    • Text-processing (NLP),
    • Computer-vision models,
    • Creative AI and generative art,
    • Model compression and deployment,
    • Explainability and interpretability,
  • Undertaking model feasibility studies,
  • Researching state-of-the-art techniques.

Data Engineering

  • Designing and building data platforms and data pipelines,
  • Creating dashboards with real-time and interactive visualisations,
  • Designing and building technical infrastructure for full model lifecycle: experimenting, training, and continuous deployment.

Technical Knowledge

  • Leading front-end and back-end engineering projects,
  • Full-stack programming,
    • Model development in TensorFlow/PyTorch,
    • Back-end programming in Python/Haskell,
    • Front-end development in JavaScript/React/Elm,
    • Dev-Ops in Kubernetes/AWS/GCP,
    • Database support in Postgres,
  • Supporting technical teams to learn and adopt AI tools.