Get in touch

Personal projects / Oslo, Norway

I build systems.
And want to understand how every piece fits together.

Senior Data Engineer at DNB. In my own time I build open tools, local AI services and small experiments where software meets hardware. I like technology that people can inspect, test and actually use.

Build · Explore · Share

A map of curiosityFrom an idea to a working system. And back again.

01 / Personal projects

Built to be used.

Things I have built outside work. Most of them are live or have public code.

More projects

Open tools

Fellesverk

A written proposal for a Nordic digital commons. Shared infrastructure, tools and AI, owned in common and run at cost. Nothing is founded yet. This is the design work, in plain Norwegian, with drawn figures.

HTML · CSS · Go

Experiments

Homelab on GitOps

My flat runs on a git repo. Five small machines pull their own config from it: Home Assistant, a local voice assistant, a GPU box serving open-weight models, and the server behind this page. Seven public sites, each one Go binary in an empty container.

Docker · Home Assistant · Tailscale · Cloudflare Tunnel · vLLM · Go

Data & AI

NM i AI 2026, Team Maskinkraft

69 hours, three tasks, one team. Our Astar Island solver sat at #8 of 214 teams during the competition. Also grocery object detection with YOLO and ONNX, and an LLM agent that does accounting.

Python · YOLO · ONNX · LLM agents

Data & AI

dataflow-generator

Turned a wall of SQL/VQL metadata into a graph you can actually look at. Filed a pandas bug along the way.

Python · SQL · PostgreSQL · Denodo VQL

Data & AI

dataflow-app

Same idea, in an app you can double-click.

Tauri · React · Rust · Python

Data & AI

Norwegian NLP datasets & models

A handful of Norwegian summarization/translation datasets and a translation model, still sitting on Hugging Face from the thesis days.

Hugging Face · Transformers · PyTorch

02 / How I work

The whole system. Not just one part.

01

Connect the parts

The interesting part is usually between the pieces. The data, the model, the API, the hardware and the person who has to use it.

02

Be able to explain it

If something matters, I want to know how it works and how it can fail. Especially when AI is involved.

03

Share it

A tool is worth more when others can inspect it, use it and build on it.

03 / Background

How I got here.

Experience

  1. DNB

    1. Senior Data Engineer, Insight Factory

      Jun 2026 – Present

    2. Data Engineer, Group Data Insight

      May 2023 – Present

    3. Data Engineer, ESG Data Hub

      Jun 2023 – Aug 2023

  2. NMBU

    1. Full Stack Developer (consultant)

      Sep 2022 – Jan 2024 · Ås, Norway · Hybrid

      Built a system using electric vehicles as batteries to stabilize grid current draw.

    2. Teaching Assistant

      Aug 2021 – Dec 2021 · Ås, Norway

      TA for data structures and algorithms.

  3. Fremtind

    1. Machine Learning Engineer (consultant)

      Jun 2022 – Aug 2022

      NLP on textual appraisal reports, on a team of 7.

  4. Skatteetaten

    1. AI & ML Engineering Intern (consultant)

      Jun 2020 – Jan 2022

      Full-stack ML: from data warehouse to an application ordering predictions from deployed models, across 30+ teams.

Education

  1. NMBU

    1. MEng (Sivilingeniør), Data Science

      Aug 2018 – May 2023

      Business Analytics specialization. Grade A.

  2. ESILV

    1. MEng exchange, Computer & Information Sciences

      Jan 2022 – Jun 2022

      École Supérieure d'Ingénieurs Léonard de Vinci, Paris.

NMBU Master's Thesis · 2023Beyond Extractive: Advancing Abstractive Automatic Text Summarization in Norwegian with Transformers
Read it

Tools I use

  • Python
  • Go
  • SQL
  • TypeScript
  • Rust
  • dbt
  • Snowflake
  • Terraform
  • Kubernetes
  • Docker
  • PyTorch
  • vLLM

04 / Contact

Got something interesting going on?

An idea, a problem, a prototype, or just something we can learn from each other.

Send an email