I make models fit where they have to run, then check what they really do.

I serve a language model bigger than my GPU's memory from that one GPU. In open-source Keras, I made the PyTorch backend faster and added one call that turns a trained model into a file a phone can run. See GLM-5.3-Flash on one GPU, Keras on PyTorch and LiteRT export.

These models run on the device itself, with no server to lean on. They read badly damaged barcodes and recognise many faces at once. From touch and motion, they can tell which hand holds a phone, who is using it, and when it is falling. See damaged barcodes, face recognition and drop detection.

RL Alpha Labs is automated trading on Indian stocks: an idea stays only if it beats an index fund after costs and tax. Porchlamp ranks open-source projects by what happens to a stranger's pull request, not by their stars.