Consulting
Cloud & Backend Engineering
The infrastructure your apps and AI features quietly depend on, built to be reliable and cost-aware. I work across AWS, Alibaba Cloud and Firebase — serverless APIs, authentication, storage — and I keep an eye on the bill, because backends that cost too much don't stay shipped.
What you get
- Serverless APIs sized to your load, not to a diagram.
- Authentication and user management done properly and securely.
- Storage and databases set up for your data, with backups considered.
- Cost-aware architecture — I design against the invoice, not just the whiteboard.
- Infrastructure ready for AI workloads when that's where you're headed.
How it works
- Understand the load What the backend has to do, for how many users, at what cost ceiling.
- Design Pick the platform and shape the architecture for reliability and price.
- Build Implement APIs, auth and storage with security baked in.
- Watch the bill Set up so cost and health are visible, and tune from there.
A good fit if
- You need a backend that scales without a surprise cloud bill.
- You want auth, APIs and storage set up right the first time.
- You're adding AI workloads and need infrastructure that can carry them.
FAQ
Which cloud should we use?
Depends on your needs — AWS, Alibaba Cloud and Firebase each fit different cases. I'll recommend based on your load, region and budget, not habit.
How do you keep costs down?
By designing against the bill from the start — right-sizing, serverless where it pays, and making cost visible so nothing runs up quietly.
Can you support AI features?
Yes — the backends I build are meant to carry AI workloads, from inference endpoints to the data pipelines behind RAG.
Contact
Discuss Cloud & backend
Tell me what you're building. Remote-first from Barcelona — we start with a short intro call.