Data & AI engineer · London

From technical ideas to practical applications.

A collection of personal projects, published work and functional experiments, each with its own approach, challenges and results.

About

MEng Computer Science with AI, University of Leeds.

I am a Data & AI engineer at PwC, working where technology meets audit. Day to day that means production data pipelines, LLM applications and agents that take on parts of audit testing, with people still making the judgement calls.

I hold an MEng in Computer Science with AI from the University of Leeds. My masters group project published two papers and won the school’s best MEng project prize. Outside work I build LapByLap, an F1 Fantasy app, which taught me most of what I know about shipping software end to end.

Selected projects

Research · 2025

ARMADILLO

A novel loss function for segmenting thin anatomical landmarks on 3D liver models, published at MIUA 2025.

  • Python
  • Deep learning
  • PointNet++
  • Point clouds
  • Computer vision
Read the write-up →
37%lower landmark error than leading state-of-the-art research (26.2 mm down to 16.6 mm)
Product · 2025

LapByLap

An F1 Fantasy app that simulates each race thousands of times and picks the best team within the budget.

  • Python
  • FastAPI
  • React
  • PostgreSQL
  • Three.js
Read the write-up →
82%directional accuracy, 2026 season
90%top-5 hit rate, 2026 season

More projects

5 of 5 shown

Publications

MIUA 2025