Worked on enhancing the PriorLabs/TabPFN and tabpfn-extensions repositories by delivering a production-ready TabPFN stack with improved reliability and ecosystem compatibility. Focused on robust error handling for Hugging Face model downloads, reproducible embeddings across CPU and GPU, and clarified commercial usage for version 2.5 models. Updated CI pipelines for macOS 15 to maintain Python 3.9 support and ensured compatibility with tabpfn 6.0 through dependency upgrades and restored test stability. Leveraged Python, YAML configuration, and PyTorch to implement flexible model versioning and download paths, reducing operational risk and streamlining maintenance for smoother deployments and ongoing project support.