About

Not a CS kid. A statistics major who happens to ship real software.

Stats rigor (multivariate, Bayesian, time series) · AI-leveraged engineering (Claude Code as force multiplier) · Systems work (Linux hardening, self-hosted services, uptime monitoring). The interesting part is where the three overlap.

Focus

Statistics · Data Science

Stage

Undergraduate

Building

Stats tooling · self-hosted infra

Handle

starsdaisuki

Tech stack

Statistics

RPython (stats stack)Bayesian inferenceTime series (Cryer & Chan)Multivariate analysisEconometrics

Languages / Runtime

GoPython (uv)TypeScriptRust (light)Kotlin (Android, light)Shell

Infra & Networking

Linux hardeningNginxCloudflare Workers / R2WireGuardfail2ban / nftablessystemdDocker

Web & AI

AstroTauriGradioDeepSeek APIClaude CodePagefind

What I care about

Minimalism & order. Declarative package management (Homebrew / Scoop / pnpm / uv), ruthless file system hygiene. Recent: 114 → 54 VS Code extensions, full Anaconda residue cleanup.
Learning systems. Daily English log at 1200+ lines, Zotero tagging on every paper, every MCM iteration version-controlled. Progress without instrumentation is invisible.
Cars. 7,000+ km behind the wheel across Tesla / Toyota / Mercedes GLC / Maybach.
Rubik's cube. CFOP, ~12s on 3×3, plus 2-5 / Megaminx / Skewb / Pyraminx / SQ1.

What I don't do

Ship unfinished work. Every project I call "deployed" is actually running and reachable.
Code dumps without comprehension. If I can't explain why it works, I won't claim I built it.
Chase shiny tools for status. I rotate when they stop serving me (iTerm2 → Ghostty, Anaconda → uv), not to add more.