Le Qin

Come in.

Go on then.

Vancouver, BC

I build and operate observability systems at AWS.

I'm Le Qin, a software engineer on AWS Observability Analytics, where I work on the services that turn raw telemetry into something people can actually reason about. Before Amazon I studied computer science at the University of Michigan and spent a summer at UMTRI doing research on 3D body-shape estimation.

I care most about the seam where distributed systems meet human interfaces — the part where a correct answer still has to be legible to a tired on-call engineer at 3 a.m. I also have a long-standing interest in accessibility and extended reality, which is where most of my university work ended up.

Recent

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· inframeta

How this site is built

Astro compiled to static HTML, built by CI, deployed to a static host. No server, no database, no framework shipped to the browser.

· xrportfolio

AR Navigator: dev log

Notes on an augmented reality wayfinding prototype that overlaid turn-by-turn directions on the live camera view.

· xrportfolio

AR portfolio: a tree-planting game

Built a two-person augmented reality game where you plant and tend trees anchored to real surfaces around you, for a Michigan XR course.

Selected work

All projects →
  • AWS Observability Analytics 2023 – present

    Day job. I work on services that ingest, store, and query telemetry at AWS scale, and on the console surfaces engineers use to investigate incidents. Specifics stay internal.

  • Fitts's Revenge Aug 2026

    The splash screen on this site, and an empathy device. Fitts's Law says the time to hit a target falls out of its size and distance; this one refuses both, fleeing to wherever your cursor is not heading. A keyboard walks straight in, because the law never governed Tab and Enter — the same barrier a lot of people meet every day, pointed the other way round for once.

  • Body Dimension Estimation from Clothed 3D Scans May – Aug 2022

    Research at the University of Michigan Transportation Research Institute under Dr. Byoungkeon Daniel Park. Built a standalone tool that recovers body measurements from scans of clothed subjects, so studies no longer need subjects scanned in fitted clothing.