I am a Data Scientist/Machine Learning Engineer with particular interest in zero-to-one products driven by analytics and machine learning. I have a background in maths, and I have industry experience in data science application in logistics, insurance, energy and engineering. I have also experience in consulting surrounding data science maturity and application. I have a passion for building products that help people, and I am always looking for ways to improve my craft.

Here are some topics I am especially interested in professionally:

• My bread and butter is end-to-end data science product development for zero-to-one products. I have experience in building products with a core data science and/or machine learning layer/component, from scoping to production and iteration.
• LLM evals, especially private evals.
• Classical machine learning for forecasting purposes, and how to apply it with explainability.
• Small, user level LLMs.
• Graph ML and integrating graph ML into user level products.

And here are some things I am working on/learning/tinkering right now:

• I love building out data tools for my interests, as of now the two interest I want to build out data tools and data stacks for: NBA sports analytics; and Magic the Gathering.
• I am looking to build out local first workflows related to the advancement of GenAI:
  • LLM assited reading as a Personal Knowledge Management System component.
  • Video pipelines using vidgen and musicgen etc.
  • Associated devops, llmops, local infrastructure, homelab and more to suport the above workflows.

And here are just an assortment of hobbies I love to talk about:

• My adventure holiday of choice is scuba diving.
• I play and watch tennis.
• I love a good coffee.
• The rest of my free time I play boardgames with my wife and dog.