Mathematician · Telematics Engineer
Probability, learning,
and systems that hold up.
I work across machine learning, stochastic modelling, and security engineering — from GPU-accelerated numerics to the cloud infrastructure that runs them at scale.
What I work on
Interests & expertise
A background spanning mathematics and engineering means moving between theory and implementation — and caring about both.
- 01
Machine Learning & AI
JAX, PyTorch, and TensorFlow applied to real problems — from model design through to training pipelines that survive contact with production.
- 02
Probability & Stochastic Processes
An MSc in Advanced Mathematics behind the modelling: stochastic processes, optimisation, and the statistics that tell signal from noise.
- 03
High-Performance Computing
CUDA and GPU acceleration for computationally intensive workloads, where the constant factor matters as much as the complexity class.
- 04
Cloud Infrastructure & Security
Kubernetes, Terraform, and AWS as infrastructure-as-code, with detection pipelines and tooling written in Python, Go, and Rust.
Curious what I've been building?
Projects are pulled live from GitHub, most recently updated first.