Brian Dillon
Scaling & infrastructure | Compliance & privacy by design | Fractional engineering leadership
Building production systems that are audit-ready, privacy-aware, and scalable from the beginning.
Past Clients →
Services
I work with teams who need senior technical direction, production architecture, and compliance built into the product before it scales.
Founding Engineer, UI/UX Lead
Led architecture and implementation of a full-stack, multi-region healthcare platform with AI triage, patient tracking, and privacy-aware operational workflows.
Lead Developer, Product Design, UI
Developed a privacy-first web and mobile platform for university drug harm-reduction, combining accessible UX & structured content.
Full-Stack Developer
Developed several cross-platform mobile and embedded software for pro audio, broadcast, and consumer devices, with a strong focus on native integrations and device-level performance.
Full-Stack Developer
Engineered a Zoom-integrated SaaS product for meeting agendas, scheduling, structured notes, and follow-up action tracking.
Lead iOS Developer
Developed Bluetooth-connected assistive technology applications for respiratory and speech therapy devices, covering delivery, deployment, and ongoing product support. I managed a range of 10+ apps, each presenting a game used by people with a wide range of disabilities to increase their quality of life.
Contributor & Feature Designer
Contributed to the C++ blockchain core for a decentralised sports betting protocol, including product feature design and protocol-level implementation support.
About
Hi 👋 i'm Brian.
Over the past 11+ years, I've worked in across healthcare, AI, education, blockchain, and a variety of SaaS - often taking products from early concept through to production within environments where ethics, data sensitivity, regulation, and trust matter.
My primary focus falls between engineering and compliance. I help teams build production architecture, translate privacy and regulatory requirements into practical engineering work, and expose risk early where a technical audit is useful. This includes privacy-by-design controls, DPIA-ready documentation, access and retention models, AI governance readiness, and preparation for frameworks like the EU AI Act (I'm currently completing the AIGP certification).
Brian Dillon
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