During March 2025, Andrin Rehmann developed a PyTorch-based vector addition and subtraction example for the pasteurlabs/tesseract-core repository, focusing on enhancing machine learning workflows for OCR applications. He implemented the vectoradd_torch module using Python and PyTorch, providing a reproducible template that demonstrates automatic differentiation and streamlined experiment setup. The work included a comprehensive README, API definition, configuration, and requirements, making onboarding easier for new contributors. By integrating a PyTorch initialization template, Andrin improved accessibility and reproducibility for ML-enabled OCR experiments, addressing the need for clear, maintainable workflows in Tesseract’s evolving machine learning infrastructure. No bugs were reported.