About Me

I’m a versatile content creator with over 15 years experience in technical communication.

I started my career as an editor for a major search engine (back when humans edited the results) before making detours through online advertising technology and product management. While studying fine art at Berlin’s Universität der Künste, I worked part-time as a UX writer, localization specialist, and technical author. After graduating, I cut my teeth writing developer documentation and technical tutorials using a docs-as-code approach. I worked as a technical writer for many years while retaining my practice as a multimedia artist and creative coder.

These days, I’ve slowly crossed over into technical content marketing and am just as comfortable ghostwriting a think piece for a CTO as I am writing a tutorial for a new Python library. Although I’ve never been a professional developer, I’m no stranger to coding. Through my passion for net and media art, I taught myself to code while working on various art projects—mostly Python, but some Node.js (I haven’t entirely given up on learning C#).

Thanks to the machine learning craze, my strongest coding language is Python. After many years working for a software company that dealt in computational linguistics, I became fascinated with natural language processing, and later large language models. Ever since the release of RNNs and later GPT2 I've been poking and prodding at the limitations of LLMs and have used LLMs in various art projects, such as fine-tining GPT2 to generate artist statements for grant applications.

But naturally, my professional writing is all 100% me. Nowadays, my AI tinkering isn’t restricted to LLMs, and I currently trying to learn ComfyUI and master offline image generation with local models. I am a big proponent of running your own models, be it Stable Diffusion, LLama-2, or Whisper. I enjoy getting my hands dirty with the underlying technology and tweaking it to my creative requirements.