Currently, I work as a Senior Engineer at Elva Group, focusing on AWS cloud engineering.

Based in Gothenburg, Sweden 🇸🇪

I build reliable cloud platforms and distributed systems that handle millions of events without waking me up at 3 AM.

My work focuses on designing and delivering secure, scalable infrastructure on AWS. That means turning architectural diagrams into production-ready platforms, automating everything worth automating, and helping teams ship software without treating deployments as special occasions.

I believe in using the right tool for the job, but I definitely have favorites.

Cloud Engineering & Infrastructure

Architecture & Backend

Frontend

I have strong opinions, loosely held. Except the database one—that is firmly held.

✅ Things I Like

• Solving the "Weird" Problems: If it involves obscure edge cases, distributed race conditions, IAM policies, or protocols nobody remembers, I'm interested.
• Building Reliable Platforms: Good infrastructure should make the secure and scalable path the easiest path.
• Automating Everything: If I have to do the same thing twice, it is probably becoming a script, pipeline, or Terraform module.
• Building Cool Things: Whether it's a massive event-ingestion platform or a small automation tool, I like shipping software that actually works.
• Game Dev: My occasional side quest. Dabbling in engines and game logic keeps the creativity flowing.

❌ Things I Hate

• "Pizza & Deploy" Evenings: If you can't trust your CI/CD pipeline to deploy at 2 PM on a Tuesday, something is fundamentally wrong. Deployments should be boring, not a social event.
• ClickOps: Production infrastructure should not depend on someone remembering which buttons they pressed in a cloud console six months ago.
• Non-Relational Databases: My brain demands structure. Give me a schema or give me death.
• Time Zones: There is a special circle of hell reserved for handling daylight-saving changes in distributed logs.

I am always open to discussing AWS architecture, cloud engineering, distributed systems, Golang vs. Rust (Go is better), or why SQL is still king.