Five things worth reading about. Each one lists what is measured and what is only self-reported, because the difference matters.
An agentic content pipeline that has run in production for a year
A spaced-repetition study platform for around 13,000 students. I built the LangGraph agent that turns source material into MCQs, flashcards and study notes without an educator writing them by hand, plus the real-time chat layer around it.
Semantic search over an infinite note canvas
Sticky notes on an infinite canvas that find each other. Every note is embedded on write, and a pgvector nearest-neighbour query surfaces related notes without anyone tagging anything. Built and shipped solo.
392 lines, no ML libraries, and a bug that was not where I looked
A feedforward network in one C file with nothing but libc and libm. Forward and backward propagation, He and Xavier initialisation, Box-Muller sampling, binary cross-entropy. The interesting part is not that it trains, it is why it would not.