Backend
Production PHP systems with clear domain boundaries, predictable data flows and APIs built to be consumed for years.
- PHP
- Laravel
- Symfony
- REST APIs
- Domain-driven architecture
- MySQL
- MariaDB
- Redis
Capabilities
Engineering expertise
Four areas that usually have to work together in one system: a solid backend, a maintainable frontend, infrastructure that stays out of the way, and AI that is actually connected to something.
Frontend
Typed, maintainable interfaces on top of those systems — from admin dashboards to customer-facing apps.
- React
- Next.js
- Vue
- TypeScript
- Inertia.js
- Modern responsive interfaces
Infrastructure
Reproducible environments, automated pipelines and deployments that are boring on purpose.
- Docker
- CI/CD
- Linux
- Cloud infrastructure
- GitHub
- Deployment automation
AI & Intelligent Applications
AI wired into real business systems: agents with tools, retrieval over enterprise knowledge, structured workflows.
- Microsoft AI Foundry
- Azure OpenAI
- RAG
- MCP
- AI agents
- Tool calling
- AI-powered workflows
- LLM integrations
Toolchain
Technical stack
The technologies I use daily. Tools are chosen per project, not the other way around.
Backend
- PHP
- Laravel
- Symfony
Frontend
- React
- Next.js
- Vue
- TypeScript
- Inertia.js
AI
- Microsoft AI Foundry
- Azure OpenAI
- RAG
- MCP
- AI Agents
Data
- MySQL
- MariaDB
- Redis
Infrastructure
- Docker
- Linux
- CI/CD
- GitHub
- Cloud
Integrations
- REST APIs
- Stripe
- Payment platforms
- SaaS APIs
- Enterprise systems
How I work
From idea to production
I take ownership of a project rather than picking up isolated tickets: architecture, implementation, integrations, deployment and the iterations after go-live.
01
Understand the problem
Business context, constraints and the actual bottleneck — before any technology decision is made.
02
Design the architecture
Domain boundaries, data model, integrations and the failure modes that matter.
03
Build the foundation
Core domain, APIs and tests first, so later features do not fight the base.
04
Integrate systems and AI
External services, payment providers, enterprise systems, retrieval and agents with tool access.
05
Test and harden
Automated tests, error tracking, performance work and sane defaults under load.
06
Deploy
Dockerised environments and CI/CD pipelines that make releases uneventful.
07
Iterate
Measure, refactor and extend — with the architecture kept honest as scope grows.
Let's build something
Tell me about the system you need built, rescued or extended.