I'm an Applied Scientist with 10+ years of experience building machine learning systems, simulation models, and decision-support tools across government, international organisations, startups, and research.

My work sits at the intersection of AI, data science, simulation, and public impact. I enjoy turning messy, real-world problems into robust, production-ready solutions.

I enjoy understanding problems, figuring out how things work and how technology can be safely applied to used to build solutions.

• 🤖 Applied AI & LLM systems
• 🌍 Geospatial analytics
• 📈 Predictive modelling
• 🧠 Simulation & agent-based modelling
• ⚖️ AI governance and evaluation
• 🚀 Building practical AI tools that solve real problems

Languages

Python • SQL • Bash

Machine Learning

scikit-learn • Keras • spaCy • Hugging Face • MLflow

Data & Infrastructure

Databricks • Azure ML • PostgreSQL • BigQuery • MongoDB • Git

Interests

LLMs • NLP • Simulation • Optimisation • High Performance Computing • Decision Support

I'm gradually open-sourcing projects and research that demonstrate:

• LLM applications
• Geospatial machine learning
• Agent-based simulation
• AI evaluation
• Data engineering workflows
• Production ML systems

I've worked with organisations including:

• Ofcom
• UNICEF Venture Fund
• Max Planck Institute
• MIT Media Lab
• Meta (Facebook)
• United Nations

building AI systems that support infrastructure resilience, humanitarian response, policy, and scientific research.

• Physics PhD
• AI Engineering
• 10+ years in applied machine learning and computational modeling

• LinkedIn
• Personal website (coming soon)

Always interested in collaborating on applied AI, open-source ML tools, and technically challenging real-world problems.