About Me

I'm an engineer at heart — driven by curiosity about how complex systems work, and a stubborn need to make them better once I understand them.

My engineering journey began in 2015 with Jaguar Land Rover's Applied Engineering Degree Apprenticeship, working full-time across multiple technical disciplines while earning a First Class Honours degree from the University of Warwick. As a CAD Engineer, I pioneered the use of fully interconnecting, robust 3D models for an entire vehicle module — a first for the company — which significantly accelerated development and cut iteration cycles. Later, as a Lead Engineer, I owned end-to-end delivery of more than 20 components on one of the brand's flagship luxury vehicles, meeting both technical and commercial targets.

That grounding in physical systems and cross-functional delivery is still how I approach software: understand the whole system before touching a part of it, and treat delivery — not just design — as part of the job.

Since 2023, I've been part of a technology graduate programme at a global financial institution, starting in storage infrastructure project delivery before moving into data engineering. There, I build resilient data pipelines and explore how AI, large language models, and RAG architectures can be applied to internal tooling and developer experience.

Outside of work, I keep that same habit going on my own projects — most recently a personal data warehouse that ingests my Spotify, Trakt, Hardcover, and health data through a config-driven ingestion engine, transforms it with dbt, and serves it from a set of Terraform-managed Cloud Run services. I've also spent time deploying LangGraph agents and tuning vector search in ChromaDB. Whatever the domain, I'm happiest working at the intersection of systems thinking and hands-on execution.