Systems Architect and builder with deep experience across the full stack — and a genuine interest
in how systems fit together at scale. I think at the architecture level first:
distributed systems, event-driven design, microservices, cloud-native patterns on AWS.
Then I go implement it, whether that's modernising a legacy Java monolith,
containerising a Lambda-based deployment, or wiring an LLM into a business workflow.
I learn the business domain, not just the tech stack. I stay ahead of security risks —
supply chain, dependency hygiene, ecosystem vulnerabilities — and treat that as a
baseline, not a bonus. I'm driven by what technology can actually do for a business,
and I go as deep as the problem needs.
I'm drawn to the gap between how a business runs today and how it could run with the right software. That gap is where I work.
Replace manual, repetitive work with reliable systems that run in the background without babysitting.
Migrated on-prem systems to AWS, upgraded legacy Java codebases, and moved Lambda projects to containerised CloudFormation deployments.
Integrating LLMs and AI APIs into real business workflows — not demos, but production automation.
Proactively tracks vulnerabilities in the Node/npm ecosystem — including supply chain risks — and keeps projects current with industry best practices before issues become incidents.
Hands-on experience in healthcare and insurance workflows — eligibility verification (270/271), prior authorisation, and EOB processing. Complex, high-stakes domain where understanding the business is as important as the code.
I self-host, maintain infra, and own the full stack end-to-end. From database schema to domain DNS.
Real apps, running in production, solving actual problems.
End-to-end operations platform for a lawn service business. Manages customers, service records, and invoicing with PDF generation. Self-hosted on a Mac Mini behind a Cloudflare Tunnel — no cloud vendor lock-in.
AI-powered workflow for healthcare insurance verification and prior authorisation — processing 270/271 eligibility transactions and EOB data. Bringing intelligence to one of the most complex and manual processes in healthcare operations.
Building in public. Each project here solves a real problem and runs in production.
Organized by domain — chosen for reliability and fit, not hype.