A fan of mathematics, technology, music and the outdoors.

PhD candidate at Imperial College London researching machine learning and statistics applied to weather prediction.

Oxford graduate with professional experience as a data engineer in AI and fintech.

I have expertise in statistics, machine learning, AI and data engineering with a proven track record in both academic research and industry applications. I’m available for consulting, advisory roles, and technical partnerships.

Services

  • Machine Learning & AI – General model design and development, LLM integration, and production deployment
  • Climate and Weather – MLWP system design, deployment, fine-tuning and optimisation for commercial applications
  • Statistical Analysis – Bayesian methods, uncertainty quantification, and forecasting systems
  • Data Engineering – Pipeline automation, unstructured data extraction and analytics
  • Technical Strategy – AI/ML roadmap development and implementation guidance

Recent Projects & Achievements

Hackathons

Winner of the Openweather Challenge 2025 for my submission WIRE, a hazard evaluation dashboard for care institutions

Winner of two SoTA hackathons, developing:

  • An automated Bayesian prior elicitation system for non-technical experts
  • An AI geoengineering simulator using MLWP models

Financial Data Automation

Production deployment of an LLM-powered unstructured data extraction system processing financial documents at scale for Intropic and Galilei Investment Office

Event Intelligence Platform

NLP pipeline development for social media event extraction and analysis with Youni.

Partners & Collaborators

Galilei Investment Office Galilei Investment Office - Boutique Asset Manager

Intropic Intropic - Financial Data Platform

Youni Youni - Student Events Platform

Nolsonlabs Nolsonlabs - Research & Development