
Data Science & Artificial Intelligence MSc graduate with a love for the field and a hands-on approach to learning. I enjoy building things and sharing what I learn along the way. I’m looking to grow into a machine learning engineering role where I can apply what I’ve learned to real-world problems. I bring a strong foundation in ML fundamentals, practical software experience, and an eagerness to collaborate with curious, like-minded people. Currently exploring generative modelling.
Education #
University of Liverpool
Data Science & Artificial Intelligence MSc, Distinction | 2024-2025
University of Chester
Economics BSc, First Class | 2020-2023
Projects #
Manipulation Lab | repo
A modular benchmarking framework for robotic manipulation built on NVIDIA Isaac Sim, designed to support the evaluation of emerging generalist robot learning models. It enables reproducible, configuration-driven experiments across diverse tasks, sensors, and embodiments, reducing ecosystem fragmentation and lowering switching costs through a flexible, low/no-code design.
Fin-LLM | repo
Addressing financial inequality by reducing informational and cognitive barriers faced by non-expert financial market participants. It consolidates fragmented market-relevant data and delivers tailored, accessible insights, helping to bridge the gap between professional-grade financial knowledge and the general public.
Posts
13 Jan 2026
A Deep Dive into Diffusion Models: DDPM (1/?)
An introduction to diffusion models with a focus on denoising diffusion probabilistic models (DDPM).
3 Jan 2026
Exploring the theory behind Variational Autoencoders (VAEs)
How do VAEs work?