A health-tech client had 99.8% accuracy on a disease that shows up in 0.2% of patients. Their agent said no to everyone. Here is how I pulled a continuous risk score out of a binary agent so the AUC comparison against their XGBoost model meant something.
A photography portfolio was sitting at a 6 second LCP on mobile and a 25KB masonry script was doing it. Native CSS masonry does the same job, with an @supports fallback to columns for the browsers that are not there yet.
A weather dashboard that tells people what to wear, built on Databricks and GPT-4o-mini instead of a pile of if-statements. Covers the extraction class, the LLM transformation step, and the hourly job that keeps the Delta Table fresh.
An AI engineer wires up models that already exist. A machine learning engineer builds the model. Which one you hire decides whether you ship in two weeks or spend six months in a sandbox, and here is how I tell the two jobs apart.
The RTX 30-series has no hardware FP8, so I packed four FP8 values into one FP32 container and unpacked them inside a Triton kernel. On a client’s 3080s that cut the memory bottleneck and ran about 3.3x faster.
A price tracker taught me that a hand-built Google scraper dies within two days. Here is why I hand that job to SerpApi now, plus the PHP wrapper I reuse and the latency setting that matters at scale.
A hanging WooCommerce checkout on Black Friday taught me that a nicer spinner does not calm anyone down. Notes on cognitive tunneling, single-tasking flows, transient locks against panic clicks, and what an emergency mode looks like.
Seven avatars from one SVG symbol, each with its own animation. The CSS cascade dies at the Shadow DOM, but custom properties pass straight through it, which is how one symbol ends up blinking and tapping at a different rate per instance.
A fleet dashboard flashed so hard that a broken-down truck went unnoticed for twenty minutes. Faster polling made it worse. What helped: delta indicators, sparklines, skeleton screens, an honest last-sync label and ARIA live regions.
A 10,000 SKU WooCommerce import kept hanging, and the previous dev’s answer was a 2GB memory limit. Advent of Code puzzles point at the real fix: sketch the logic first, validate the input, batch the writes.