Connor contributed to the chroma-core/chroma repository by implementing Apple Silicon MPS acceleration for the OpenCLIP embedding function. Using Python and PyTorch, Connor enabled the embedding generation process to leverage Apple’s Metal Performance Shaders, which improved performance on macOS devices with Apple Silicon. The technical approach involved ensuring input tensors were correctly moved to the model’s device, resolving a runtime error and enabling stable execution on MPS. This work delivered faster embedding generation without altering user-facing APIs, expanding deployment options for macOS environments. Connor’s contribution demonstrated depth in machine learning and system optimization, addressing both performance and compatibility challenges.