I write code and manage infrastructure because I want to see things work. My background isn't filled with standard corporate internships; it’s built on real, hands-on experimentation. When I want to understand how a system works, I don't just read about it—I buy the hardware, set up the container, deploy the code, and debug it until it runs perfectly.
I don't look at AI as a buzzword or a replacement for programming. To me, AI engines and LLMs are just components in a larger engineering architecture. My strength is figuring out how to connect these models to web interfaces, live audio streams, and physical hardware pipelines while keeping the entire stack highly optimized and fast.
What I do
I build, orchestrate, and self-host technical projects. My workflow involves writing full-stack code (Python, TypeScript, Java[cite: 2]) and wiring it into local or cloud backends. I build real-time data and audio streams, integrate voice models (STT/TTS), and manage end-to-end automation pipelines. If a project requires specialized hardware, I design and fabricate it myself.
Alongside my core infrastructure work, I am conducting a research project in medical AI[cite: 2]. This research focuses on the application of artificial intelligence in neuroscience[cite: 2], exploring how to combine technical systems with real-world impact in the medical field[cite: 2].
How I work
- Move Fast and Build: I believe that experience teaches the most valuable lessons[cite: 2]. I build early versions quickly, find the bugs by running them, and fix the infrastructure as I go, knowing mistakes help me grow[cite: 2].
- The Orchestrator Mindset: I use AI tools aggressively to speed up writing boilerplate code. This leaves me free to focus on the hard parts: systems architecture, networking, data pipelines, and raw infrastructure management.
- Root-Cause Troubleshooting: Having my own enterprise-grade homelab means I can't blame "the cloud" when things crash. I know how to log into a server, read the logs, fix network routing, and handle hardware or configuration failures myself.
Outside of work
My main project outside of standard work is my homelab. I manage a private bare-metal environment running a Proxmox cluster, bare-metal rack servers, Docker containers, Kubernetes, and customized network configurations[cite: 2].
I apply this infrastructure to my personal projects. I’ve built a custom AI Discord bot to manage and automate audience engagement during live Twitch streams, engineered a prototype real-time AI VTuber, and managed a full FDM 3D printing setup. I am fully fluent in Swedish, English, and Thai[cite: 2], allowing me to collaborate and consume technical documentation across multiple regions.