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LikelyLucid/README.md
Blue halftone cloudscape over a road

LIKELYLUCID / MICHAEL MCKELLAR

Hi, I'm Michael.

data science · applied ML · Linux systems · creative tools

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wallust palette · quiet surfaces · one good accent


I’m a data science student in New Zealand who likes working where messy data, useful software, and slightly over-engineered systems overlap.

I build things to understand them: models, personal tools, local AI experiments, self-hosted services, and Linux desktops that are deliberately configured down to the last pixel.

now       → learning, shipping, breaking, fixing
interests → applied ML · NixOS · self-hosting · HCI · good coffee
principle → make the machine feel like mine

What I’m building around

area what that looks like
data + ML Turning real-world mess into models, visualisations, and answers that are actually useful.
systems NixOS, homelabs, automation, reproducible configs, and tools that work locally first.
interfaces Human-computer tools, desktop widgets, terminal workflows, and small details that make software feel calm.
experiments Creative software, strange prototypes, and projects that teach me something by existing.

Selected builds

  • Hermes Agent — an agent that grows with you; I work on the desktop, tooling, and the edges where software meets people.
  • CUA — computer-use infrastructure for open-source drivers, fleets, and evaluation.
  • dotfiles — NixOS-adjacent desktop configuration, Wallust theming, Waybar, Eww, and the ongoing battle against configuration drift.
  • Nothing Headphone CLI — an unofficial Linux CLI and orientation visualiser for Nothing Headphone (1).
  • Spotify Textualize — a Python experiment for turning listening history into something readable.

Toolbox

Python R PyTorch NixOS Linux Docker PostgreSQL Wayland

palette / wallust

#00000B canvas  ·  #00000D surface  ·  #DFE9F6 text  ·  #8C97A3 muted  ·  #C9D8EA accent  ·  #7F91CD cursor


building slowly · shipping often · making a mess of the right things

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  1. Spotify_Textualize Spotify_Textualize Public

    Python 1