Work
Projects
Production tools, research utilities, and infrastructure automation — built at the intersection of Lloyd's market expertise and modern AI.
Lloyd's Market News Digest
AI-powered daily intelligence for the Lloyd's insurance market. Monitors 50+ sources overnight, extracts the signal from the noise, and delivers a concise, structured digest before the market opens — with zero manual curation.
Other Projects
MyStockify
Stock analysis toolkit for evaluating investment opportunities.
Built to automate my own investment research — combines financial APIs, multiple valuation models, and data visualisation into a single workflow.
Full Python build: data ingestion, scoring engine, Jupyter output.
Homeserver-as-Code
Infrastructure-as-code setup for a fully self-hosted home server.
Wanted reproducible, version-controlled infrastructure that could be rebuilt from scratch in minutes — no more manual configuration drift.
Docker Compose stack, reverse proxy, automated backups, and monitoring.
Docker DB Backup Automation
Scheduled, containerised database backup with configurable retention.
Solved a real gap: most teams run databases in Docker but rely on fragile manual backup scripts. This handles scheduling, rotation, and alerting automatically.
Shell scripting, Docker integration, cron scheduling, retention logic.
Claims Pipeline
Data transformation pipeline for insurance bordereaux processing.
Bordereaux data arrives in inconsistent formats from coverholders. This pipeline ingests, validates, and standardises the records for downstream processing.
Python ETL pipeline, schema validation, pandas transformations.
30 Days 30 Apps Challenge
30 AI applications for Lloyd's and specialty insurance, built and shipped in 30 consecutive days. 14 March – 12 April 2026.