Code

My most recent career is as a Geospatial Data Engineer at the UK Hydrographic Office, where I design and build automated pipelines using distributed computing and serverless architectures. My professional work sits at the intersection of large-scale data engineering and geospatial science, helped by my mathematical grounding gained from a Masters degree in Physics at the University of York.

Beyond my professional role, I apply the same rigour and standards to a wide range of personal projects. My multi-machine Debian-native homelab running across bare-metal amd64 and arm64 hardware reflects end-to-end ownership of a production-grade network, and is made up of nginx reverse proxies, a VPN, an internal DNS, centralised data services, mail infrastructure and a suite of self-written Flask applications all packaged and managed through a self-hosted APT repository. Security is treated seriously, via an offline X.509 root CA to GPG key management via Nitrokey hardware token.

My personal projects span a broad range: a full-stack deanery management system for Ivybridge Deanery with a formal issue-tracking state machine; a rail journey tracker following a medallion data architecture ingesting both CalDAV and photographic data; a household purchasing ingestion system drawing from email and Paperless-ngx document store; a personal finance and FIRE projection suite; a suite of liturgical tools underpinned by a custom festal calendar library; and a geospatial mapping practice rooted in nature.

Across all of this, I work with a Debian-native philosophy with Bash being my natural habitat.