How this site is built
I rebuilt my old Jekyll blog with Astro. Pages are static HTML, with JavaScript for the demos and a few site controls.
I work on observability tools at AWS.
I'm Le Qin, a software engineer on AWS Observability Analytics, where I work on the services engineers use to collect and query logs and other system data. Before Amazon, I studied computer science at the University of Michigan and spent a summer at UMTRI doing research on estimating 3D joint positions from body scans.
I'm interested in how people use these tools to work out what went wrong in a system. At Michigan, I also worked on accessibility, virtual reality, and augmented reality projects. You can find those projects and some of their demos here.
Recent
All posts →AR Navigator: dev log
Notes and the original trailer for our mobile object-finding prototype, which uses an arrow, spatial sound, and vibration to indicate direction.
AR portfolio: a tree-planting game
Maxwell Zuber and I built Ann Arbor Go, a phone game for planting virtual trees, exploring a map, and defending trees from squirrels.
Selected work
All projects →- AWS Observability Analytics
At AWS, I work on services that collect, store, and query system data, and the console engineers use to investigate problems. The demo here uses a made-up incident to show how those investigations work.
- Fitts's Revenge
An Enter button that dodges your mouse. You can still use the keyboard, touch, or a pen to get in. I built it as a small experiment about what happens when an interface gets in your way.
- 3D Joint Estimation from Clothed Body Scans
I adapted Dr. Byoung-Keon (Daniel) Park's joint-estimation prototype into a Python desktop tool at UMTRI. It estimates 3D joints from clothed body scans and processes batches on macOS and Windows.