About

From learning AI to building with it

  • Systems & AI engineer
  • Bergen, Norway
  • Open to new work

Something shifted this past year. I went from studying AI to building with it — and I'll admit it's getting addictive.

Here's what surprised me. At the technical level, I'm still early. I know that. But that's not where the leverage turned out to be. The work I keep gravitating toward is systems thinking — turning a messy business problem into logic a machine can actually run. That's where I'm useful.

AI has made building easier than it has ever been. What it hasn't made easier is the reasoning behind how a system should work. That still needs a human in the loop — and a human in the loop only counts if that human is exercising judgment.

Everyone can use the tools now. Everyone can build. Which means the tools no longer decide the quality of the outcome. The human does.

There's a scene in I, Robot I keep coming back to. Detective Spooner dismisses the robot Sonny — no robot could write a symphony or turn a canvas into a masterpiece. Sonny answers with two words: “Can you?”

Maybe machines will create masterpieces one day. Maybe they won't. Either way, Sonny's answer points at something we keep missing: most of us were never the symphony writers. Our role was always judgment — deciding what's worth building, and recognizing quality when we see it.

That role didn't shrink when the tools got better.

It's the only part that grew.

Engineering Principles
  • 01

    Ship to production, not to slides.

    Demos are easy. I optimize for software that survives real users, real data, and real edge cases.

  • 02

    Automate the boring, deliberate work.

    If a process is repeatable, it should be codified — pipelines, cron jobs, and workflows instead of manual toil.

  • 03

    Practical over clever.

    I reach for the simplest implementation that solves the problem and stays understandable six months later.

  • 04

    Bridge product, code, and ops.

    I care equally about the model, the migration, and the invoice that goes out on Monday — because they're the same system.

Journey
  1. Foundation

    Studied AI at UiB

    Bachelor's in AI at the University of Bergen — the theoretical ground under everything I build now.

  2. Practice

    Freelance ML & automation

    Shipped ML pipelines, computer vision, and workflow automations for real clients with real deadlines.

  3. Now

    Building in production

    Fullstack systems in TypeScript and Postgres, wired into LLMs and workflow automation. Optimizing for software that survives real users.

  4. Focus

    Human in the loop

    The tools got easy. Judgment didn't. That's where I keep my hands.

Skills
Languages
TypeScriptPythonSQL
Frameworks
Next.jsReact
Backend & Data
SupabasePostgreSQLAuth & RBAC
Automation
n8n
Tools & Platforms
VercelGitLinuxResend
AI & Machine Learning
PyTorchComputer VisionMachine Learning
Currently

Open to systems, AI, and automation work.

Get in touch