Backend engineer building the quiet machinery behind products — APIs, services, and the infra they live on.
Seven years on backend systems — APIs, microservices, and cloud infra mostly on Azure. I’m comfortable in the ugly bits where things actually break: sync drift, retry storms, cache invalidation, the lot.
Currently a Senior Technical Lead at Infinitas Learning shipping Node/TypeScript services for enterprise clients. Lately I’ve been leaning on AI tools — Cursor, Claude, local models like DeepSeek-R1 — to chew through boilerplate so I can spend longer on the parts that matter.
Four years before that I was a QA engineer at Visma Labs who kept getting pulled into DevOps. That’s where I learned how production really fails. Off-hours I’m on a bike along the río, or fixing whatever’s broken on the server under my desk — his name is Rosa, and he’s very patient.
v0.9module-disco-content-model-validator · feat(v9) Content model modernizationEducational platform delivering content to 2.5 million users worldwide. Processing 50M+ requests daily with 99.8% uptime across 5 microservices at Infinitas Learning.
Five years of platform modernization. Delivered 380+ pull requests, 85 issues closed, and 580 commits driving continuous improvement and architectural evolution.
Built 12 Azure release pipelines for 3 critical systems at Visma Labs. Eliminated manual deploy chaos and saved a thousand Friday-evening panics.
DataLoader batching on hot endpoints. Optimized retrieval times by half while maintaining platform reliability and scaling to millions of requests daily.
Full-stack portfolio platform built in 2026. TypeScript, React, Node.js, MongoDB. 34 features, 63 fixes, 52 tests delivered with production infrastructure on Cloudflare + Railway.
I started in QA, which is still the reason my code is hard to break.
Madrid
Continuing platform modernization for Infinitas Learning while driving AI incentive system development through One Beyond. Building AI-powered agentic workflows and intelligent systems. Microservices on Azure, GraphQL + REST APIs, Kubernetes orchestration. Optimized GraphQL retrieval times by ~50% through DataLoader batching and caching strategies. Architected Redis caching layer behind nginx to eliminate service strain. Building next-generation AI-driven content systems.
Madrid
Started as Junior JavaScript developer, progressed to Senior Developer. Built DITA-to-JSON content transformation service, designed GraphQL APIs handling complex content relationships, and established Terraform-based infrastructure automation. Delivered 380+ pull requests across multiple microservices while maintaining comprehensive testing and CI/CD practices. Evolved from individual contributor to senior engineer driving platform architecture decisions.
Madrid
Started as QA Junior, progressed to Mid-level Software Engineer while gradually shifting towards infrastructure and deployment automation. Built Azure release pipelines for three business-critical systems and automated manual deployment processes. Eliminated Friday-evening panic deploys through robust CI/CD infrastructure and comprehensive testing strategies.
Liverpool, UK
Discovered I liked the servers more than the screens. Built foundational understanding of distributed systems, cloud infrastructure, and backend architecture that would shape my career trajectory.
Downpatrick, NI
Where it all started. Foundational software development education with heavy C# focus. Built early suspicion of VB and set me on the path to backend engineering.
TypeScript, Node.js, Python, C# / .NET, Go (learning), Bash, SQL
GraphQL (Apollo, DataLoader), REST, Express, Next.js, FastAPI, ASP.NET Core
Azure, AWS, Docker, Kubernetes (Helm), Terraform, nginx, Cloudflare
MongoDB, PostgreSQL, Redis, SQL Server, Cosmos DB, Blob Storage
Claude (CLI & API), GitHub Copilot, Ollama / local Llama, Stable Diffusion, prompt design
Jest, Playwright, Mocha, Azure DevOps, GitHub Actions, Selenium, SpecFlow
Open to interesting backend and infra problems — contract or full-time. Quickest path is email.