PhD in breaking things apart until I understand how they work.
Curiosity brought me into technology. AI became how I build.
I keep pulling systems apart until I understand enough to build with them.
LATE 2023 / CURIOSITY
When ChatGPT 3.5 arrived, technology became something I could question, provoke, and take apart.
I learned by experimenting, pushing limits, breaking assumptions, and tracing what happened next.
That loop turned curiosity into a direction.
2024 / EDUCATION
I started a 400 YH-point Front End Developer program and gained a structured view of JavaScript, APIs, testing, UX, accessibility, agile work, and delivery.
2025 / AI-FIRST DEVELOPMENT
I moved from prompting tools to building systems through them.
My work expanded into agent orchestration, custom harnesses, AI memory, token optimization, and specialized AI-native SaaS products.
I also began running open-weight models in Google Colab with access to approximately 40 GB of VRAM and contributing to open-source projects.
NOW / GRAPHS / CONTEXT / ML
My current focus is graph engineering, context engineering, and machine-learning foundations.
400 YH-poäng / EDUCATION / FOUNDATIONS
JavaScript and frameworks · API development · Software testing · UX and accessibility · Agile project work · 26 weeks of LIA · AI, tools, and sustainable code
FRAME / BUILD / REFINE
AI is not an add-on to my workflow. It is the environment I build through.
Problem definition · Product direction · Agent direction · Debugging · Model and tool selection · Deployment · UX
github/spec-kit — 47 merged PRs
github/copilot-cli — 2 merged PRs
github/github-mcp-server — 1 merged PR
HKUDS/CLI-Anything — 2 merged PRs
NEAR TERM / TECHNICAL DEPTH
Graph engineering · Context engineering · ML foundations
LONG TERM / MEANINGFUL SYSTEMS
Robotics · Medicine · Biology — and what AI could contribute there.
