AI Advisory and Consulting

Noon giving a presentation!

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

People

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.

Expertise

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.