DevOps Engineer focused on Kubernetes, platform engineering, and self-hosted infrastructure.
I enjoy building systems that developers can rely on, from containerized applications and CI/CD workflows to observability tooling, AI experiments, and full-stack applications.
I also use Arch, by the way.
Configuration and documentation for my self-hosted environment, including Kubernetes workloads and infrastructure automation.
Focus: Kubernetes Containers Linux Automation Self-Hosting
Collaborative deep learning project implementing an unconditional diffusion model that generates new vehicle images from noise.
The project includes model experimentation, training notebooks, a user-facing application, containerized deployment, and CI workflows.
Tech: Python PyTorch Jupyter Computer Vision Docker
Machine learning project developed through a collaboration between Cogito and Infor, focused on applying Python-based data processing and ML techniques.
Tech: Python Machine Learning Data Processing
Full-stack candidate screening platform developed in collaboration with Trondheim Municipality.
The application processes uploaded CVs and uses LLM APIs to evaluate candidates against job descriptions, with a dashboard for reviewing and comparing the results.
Tech: React TypeScript Node.js PostgreSQL LLM APIs
Production web platform for the NTNU Hackerspace student organization, developed as part of a collaborative open-source project.
Tech: Next.js React TypeScript Docker
Strategy game developed for an NTNU software architecture course, with an emphasis on maintainability and architectural design.
Tech: Kotlin Software Architecture Game Development
Personal Website · WIP
Building a personal portfolio with a containerized, self-hosted deployment pipeline.
Planned stack: React TypeScript Docker Kubernetes
My reproducible Arch Linux development environment, built on top of Omarchy and customized around my preferred tooling and workflow.
Tech: Arch Linux Hyprland Shell Omarchy
Build it. Break it. Understand it. Improve it.