From posts in the Tech category, newest first. Each answer reads as a citable claim and links back to the source post for the code, the deploy notes, or the failure mode that motivated the project.
The angle: code that runs, not opinion pieces about the industry. Project work covers computer vision (a card counter on OpenCV, an audit of F3ED, the NeurIPS 2024 tennis-shot detector), applied ML (visualizing PyTorch gradients, modeling postprandial glucose response with XGBoost), health-data engineering (a Python library for the Dexcom CGM), and agentic deployment (Cursor on a fresh Azure environment). The site itself is a recurring case study: Hugo plus GitHub Pages plus five Cloudflare Workers run social automation on Llama 4 Scout, content negotiation for AI crawlers, security headers, URL shortening on KV plus D1, and analytics aggregation.
Answers lead with the version number, the benchmark, or the failure mode. Most questions come from engineers who want to know what actually shipped, so the answers say what shipped.