Brian Dillon

Engineering &
Compliance

Healthtech | AI products | Research-led software

I help teams handling sensitive or AI-related data get product, data, and governance foundations ready for customers, funders, and regulatory scrutiny.

Get in touchAvailable through Q3 2026

Free 30-minute discovery call. No pressure, no commitment.

Past Clients →

CommPALmyuseQuickMinutesAudio RhoonRocudoWAGERRLRNR

Services

What I help with

I work with sensitive-data and AI-adjacent teams who need senior technical direction, production architecture, and compliance built into the product before scrutiny arrives.

Engineering & Architecture

Delivery planning and hands-on engineering that turns prototypes, spin-outs, and early SaaS products into production systems ready for customer and diligence scrutiny.

Spin-out product/data readinessDiligence-ready technical roadmapInfrastructure scalingTechnical debt triageFractional leadership
Engineering & architecture

Compliance Engineering

Privacy, DPIA, and AI governance questions translated into data flows, controls, documentation, and backlog items engineers can actually ship.

Healthtech data architectureDPIA/data-flow readinessAI governance engineeringAudit-ready implementation
Compliance engineering

Where I'm most useful

Sensitive data, AI, and scrutiny

I help healthtech, AI, and research-led software teams get their product, data, and governance foundations ready for customers, funders, and regulatory scrutiny.

Selected outcome

Spin-out Product & Data Readiness Review

Research prototypes becoming commercial software, often with sensitive data, ethics history, university infrastructure, and unclear handover boundaries.

Common pressure

  • Leaving the university environment without losing control of data, governance, or architecture.
  • Turning ethics-approved research software into commercial-ready product foundations.
  • Aligning founders, engineers, DPOs, funders, and clinical or university stakeholders.

What closure looks like

  • Controller, processor, data-flow, and infrastructure questions made explicit.
  • Architecture, governance, and documentation gaps converted into an engineering backlog.
  • A readiness story the team can use with funders, partners, and future customers.
Review spin-out readiness

Engineering-led readiness work, not legal sign-off.

Also relevant for referrals

Compliance consultants needing engineering depthSecurity consultants without privacy or data-governance depthCare organisations deploying or procuring sensitive-data softwareDev agents or agencies building AI apps for clientsSolo SaaS owners handling sensitive data or AI risk

Selected work

CommPAL

CommPAL

Founding Engineer, Privacy & Compliance, UI/UX

Cross-region healthcare platform with AI triage, patient tracking, and privacy-aware operational workflows.

HealthcareAICloudGDPRSaaSML
MyUSE

MyUSE

Lead Developer, Privacy & Compliance, Product Design

MyUse is a privacy-first web and mobile platform for university drug harm-reduction, combining accessible UX & structured content.

AWSLaravelReactPrivacy By DesignGDPRUniversity Spin-Outs
QuickMinutes

QuickMinutes

Full-Stack Developer

Zoom-integrated SaaS product for meeting agendas, scheduling, structured notes, and follow-up action tracking.

SaaSWebIntegrationsBlockchainZoomAgendas
Rocudo

Rocudo

Tech Lead, Full-Stack Developer

Rocudo provides cross-platform mobile and embedded software for pro audio, broadcast, and consumer devices, with a strong focus on native integrations and device-level performance.

iOSEmbeddedObjective-CSwiftApp StoreProAudio
AudioRhoon

AudioRhoon

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.

Digital HealthiOSBluetoothAssistive Tech
Wagerr

Wagerr

Contributor & Feature Designer

Contributed to the C++ blockchain core for a decentralised sports betting protocol, including product feature design and protocol-level implementation support.

C++BlockchainProtocolPython
See full portfolio

Free templates

Start with the useful bit

Download practical privacy, AI, and data compliance templates before booking anything. If they surface gaps in your product, the next step is a focused review.

Selected: Data Protection Impact

Free resource

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About

Hi 👋 I'm Brian.

Over the past 11+ years, I've worked across healthcare, AI, education, blockchain, and a variety of SaaS - often taking products from early concept through to production within environments where ethics, 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
Engineering & ArchitectureCompliance EngineeringReadiness ReviewsPrivacy EngineeringGDPRDPIAEU AI ActAI GovernanceFractional Technical LeadershipStartup ArchitectureHealthcare SoftwareMedTechSaaSCloud & DevOps
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