Greetings Traveller!

Welcome to HackTheOxidation's GitHub Pages.

I'm a Danish software engineer and free/open-source software enthusiast among other things.
This site is still under construction at the moment (seriously, when are you ever done with a software project?).

In the mean time, check out my projects on GitHub.

Skills/Interests

Update: As of September 2025, I am a full-time at a defence company (the same company that hired me as a student back in February 2024), which is a new beginning for me as I embark on real adult life (sorry folks, studying isn't the same). Back in July 2025, I finished my Master's degree in Computer Science and Engineering from the Technical University of Denmark (DTU), and I was offered a Ph.D.-position at Aarhus University. However, I quickly figured out that the Ph.D.-stuff wasn't for me. I don't wan't to badmouth anyone, but I'd like to share my advice to those of you, who are considering doing a Ph.D. I can only speak for my own area of interest, but I'd say that unless you are a billion percent certain that you want to go into academia, and stay there, don't do it. I went into the programme thinking that I'd contribute to something important, something impactful, in a realistic way. No change the world fundamentally (I'm not that naive). When I think of the quintessential engineer, I think of a person that applies science and logic to solve real-world problems. That is one of the driving forces behind my interest in engineering; I create something useful. The project I was assigned to seemed really interesting at first, but it became clear to me, that the project was never going to be a success. How can you call a project successful if it never reaches its intended users? This applies no matter what the outcome of the project is; products, knowledge, or something else entirely. As I see it, the project wasn't about actually solving the problem, but to publish articles. where I have been harnessing my skills to new levels. This means more modern C++ (C++20 and up) and I've worked on a custom compiler toolchain for some internal projects for embedded targets leveraging both GNU GCC and LLVM.
In total, I have over 3 years of real-world industry experience (albeit being mostly part-time, but everything counts).

Most of the skills that I have acquired primarily come from University and (mostly) free-time hobby coding, but in spring of 2022 I got an internship working on a (quite large) python project, so now I also have real-world professional developer experience. Yay!

Programming Languages and Technologies

• C++ - I know advanced parts of the language from newer standards (C++17/20/23) and I have actual industry experience.
  I've been using the language in both user-space applications and embedded systems, both of which are in a Safety-Critical context.
  As for side-projects, I wrote a small JSON-parser from scratch: picoJSON.
  And a library for parsing .INI-files: libini.
• C - Most of my "experience" come from university and hobby coding.
  I wrote a minimalist web-server for a university project: ficus.
• Python - My first internship (which later became my student job) was all about python (django, specifically), which means that I have "Professional" python development experience.
  The code I wrote for the 'os2datascanner' project during my internship is fully open source! Check it out here: os2datascanner.
  Aside from that, I have used python in non-professional capacity as well, mostly in the form of small scripts and config files, but now I am writing bindings for my moonalloy project: python-moonalloy.
• Ada - This is the top language that I am currently learning. Since I work in the defence and aerospace sector, it makes sense to learn this language. Honestly, I don't see why it doesn't get more credit. I like it as it forces you to structure your code and the type system is quite nice.
• F# - This is really an awesome language. I have done several courses using this language.
  I have some repositories func_prog_dtu and swafp-exam.
• HTML & CSS - Used it both professionally and for making this website, but I know that I need to improve (psst! I know they are not programming languages).
• JavaScript - While it is true that I have written some JavaScript for OS2datascanner in a professional capacity, I don't consider myself that proficient.
• Go - I have tinkered some with this language and I really like its minimalistic approach.
  I have written an experimental tool for extracting text from pdf files: pdfanalyzer.
  This was made as a Proof-of-Concept using Go's channels and goroutines for use in the afforementioned 'os2datascanner' project.
  I also wrote a (very incomplete) http client: twig.
• Haskell - Being purely functional, this language challenges the way you think and makes you a better programmer (I think?).
  I wrote a few of the challenges from Advent of Code 2021: advent-of-code2021.
• Rust - I have put a reasonable effort into learning it.
  I have written a small 'ls'-clone: neols (crates.io).
  I am also working on a numpy-like library written in rust with an API in Python and Lua (still in early development): moonalloy.
• Emacs Lisp - It's just cool and retro and I can make my editor do anything with it. I have contributed a few lines to Silex/docker.el

Frameworks/Tools

• git (of course)
• cmake the meta-build system for C and C++ projects.
• googletest (C++)
• cereal A serialization framework for C++
• pthreads Good ol' POSIX threads
• django (full-stack, including django templates, forms, etc.)
• pytest and various other python packages
• docker and docker-compose
• GitLab CI/CD
• GitHub Actions
• Jenkins CI/CD
• Databases - mostly PostgreSQL
• gunicorn (WSGI) and uvicorn (ASGI)
• RabbitMQ (through pika.py)
• Grafana
• Nginx

General Programming Concepts

• Data Structures and Algorithms - I have some implementations in C/C++ from a previous course (NOTE: the code is old and ugly): Link to repo
• Concurrency - Threads, Mutexes, Semaphores, etc.
• Functional Programming - Typeclasses, Higher-order functions, Recursion, Monads, Functors and Applicatives etc.
• Object-Oriented Programming - Classes, Objects, Inheritance, Polymorphism, Interfaces, Design Patterns: Observer, Singleton, Mediator, etc.
• Linux - Kernel Modules and Operating System concepts

Operating Systems

• Linux - I have tinkered with most of the main distros: Debian-/Ubuntu-based, Fedora/RHEL, Arch-based, Gentoo-based.
  And some niche stuff: Artix, GNU Guix, Void Linux, etc.
  I am currently running Fedora as my main distro.
• BSD - I have also had my hands in some of the BSD-derivatives, mainly FreeBSD and OpenBSD.

Text Editors, IDE's and Other Tools

I used to be a serious vimmer, but these days I mostly use Emacs.
You can get my dotfiles here.
Professionally, I have also used the JetBrains family of IDEs, mostly CLion.

Currently Learning/Playing with

• Ada - for reliable embedded, avionics and defence systems.
• C++ - More stuff from the modern standards (C++20/23 and up).
• Everything Python! The more I use it, the more I like it (I might be turning into a true Pythonista).
• Learning how to write Compilers, Interpreters, Program Analyzers
• The Foundations of Computer Science.