Blog
Start with the core thesis, then go deeper into individual concepts: probability, sampling, hypothesis testing, power, Bayesian thinking, and more — always from a software engineer's point of view.
Part 2 of a series on BILBO, a home-built baby monitor. Part 1 was the build; this one is the meta. Aggregate metrics lie. Ground truth is sacred. Bigger models don't fix data problems. And coding agents are a different gear for hobby projects, but they won't tell you when to delete your work.
Read article →A $25 IP camera, an old Mac mini that was about to be e-waste, a 3-stage MobileNetV3 cascade, and a dashboard that never leaves my LAN. Here's what I built, how it's put together, and the tradeoffs I can back up with numbers.
Read article →A practical guide (with examples) to using statistical modeling to understand, predict, and prevent mysterious failures in modern distributed systems.
Read article →Most software engineers spend years sharpening their coding skills but go surprisingly far without understanding the statistical forces shaping their systems. Here are eight stories of engineers solving real problems with stats.
Read article →