Services
Architecture first. Then the code.
Websites, applications, APIs, mobile, AI — different surfaces, same discipline. Projects rarely fail on the technology; they fail on the system around it. These are the six ways I help teams get that right, whether you need a second opinion or the whole thing built.
Systems Architecture
The design work that decides whether a system survives contact with real users. Data model, service boundaries, failure modes, scale and cost ceilings — specified and agreed before a line of production code is written.
- Architecture decision records & system diagrams
- Data modelling and service boundaries
- Scale, cost and capacity modelling
- Failure, fallback and degradation strategy
Websites & Web Applications
Marketing sites, dashboards and full products — fast, accessible, properly indexed, and built on a front-end your team can still work in a year from now.
- React, Next.js and Vue applications
- Design systems and component libraries
- Performance, accessibility and technical SEO
- CMS, analytics and deployment wiring
Mobile & Cross-Platform Apps
Native Android and cross-platform applications, from first build to store release — with the offline behaviour, sync and release process worked out rather than bolted on.
- Android (Kotlin) and cross-platform builds
- Offline-first storage and sync
- Push, deep links and release pipelines
- Play Store submission and staged rollout
APIs & Backend Platforms
The layer everything else depends on. Typed APIs, authentication, rate limiting, queues and caching — the same patterns behind Codevry's open-source gateway and processing services.
- REST and typed API design with contract tests
- Auth, rate limiting and multi-tenant boundaries
- Background jobs, queues and scheduled pipelines
- Observability: logs, metrics, traces and alerts
AI & Agentic Systems
Where it genuinely earns its place: agents, retrieval over your own data and LLM pipelines that do real work — built to be evaluated and debugged, not just demoed.
- Model selection and cost modelling
- RAG and retrieval pipelines over your own data
- Tool-calling, orchestration, retries and tracing
- Evaluation harnesses and quality baselines
Architecture Review & Advisory
An independent read on a codebase, a roadmap or a build-vs-buy decision — as a one-off written assessment, or as ongoing fractional CTO ownership for a team without a principal engineer.
- Codebase and architecture assessment
- Scalability, security and cost risk register
- Prioritised remediation roadmap
- Recurring reviews, hiring and vendor decisions
How it works
No surprises, no open-ended invoices
Four stages, agreed up front. You always know what is being built, what it costs and what you own at the end.
Scope
A call, then a written brief. What the system has to do, what it must not do, and what success is measured against. No engagement starts on a vague ask.
Architect
Design before build — diagrams, decision records, cost model and the risks stated plainly. You approve the shape of the thing before anyone pays for implementation.
Build
Shipped in reviewable increments against the agreed architecture, with tests and observability built in rather than retrofitted.
Hand over
Documentation, runbooks and a walkthrough so your team owns the system. Ongoing support is optional, never a dependency I engineer in.
Start a project
Tell me what you're building — and what has to be true for it to work.
One email, one call, then a written scope. If it isn't a fit I'll say so, and point you at someone who is.