Relevant publications, open-source contributions, or demonstrated delivery of production computer vision systems, familiar with methods including: feature correlation, correlation or cost volumes, and matching methods for correspondence, stereo, optical flow, or localization. D. Hands-on experience designing, training, debugging, and evaluating models using PyTorch or an equivalent framework, including architecture selection, loss design, optimization, and augmentation that preserves geometric consistency.