llmms-core

Developed and packaged a Python framework for training foundation models on mass spectra from small metabolites. Like protein language models that learn from amino acid sequences, these models learn spectral representations that can support tasks such as retrieving molecular structures directly from spectra. Built the training pipeline with PyTorch Lightning and established a maintainable software stack using Pixi, pytest, MkDocs, and GitHub Actions.