February 2026 monthly summary for facebookresearch/momentum focused on stabilizing the rasterization path and reducing runtime failures in batched transforms. Delivered a targeted bug fix for Rasterize Transforms that eliminates a RuntimeError by ensuring the TensorAccessor receives a 3D tensor. The fix selects the first element from the batch dimension (transforms.select(0, 0)) before constructing the 3D accessor, aligning with the unsqueezed batch-dimension produced by validation. This change improves robustness of rasterize_transforms across batched inputs and reduces user-visible crashes. The work was completed and merged as PR #1047 (Differential Revision D93453081) with a code review from the team. Overall impact: improves stability and reliability of the momentum rasterization workflow, enabling safer processing of batched transforms and reducing error-prone edge cases. Business value includes fewer runtime failures, smoother data pipelines, and more predictable performance in production workloads.

December 2025: Implemented JointToJointPositionErrorFunction in facebookresearch/momentum to constrain relative positions between two joints in a character's skeleton, enabling precise control of joint relationships in local reference frames and improving animation fidelity. Added comprehensive unit tests covering gradients/Jacobians, zero-error cases, and relative-frame transformations. No major bugs fixed this month; emphasis on delivering a robust feature and preventing regressions through tests. This work delivers business value by enabling natural, stable joint constraints (e.g., keeping a hand relative to the torso), reducing manual tweaking, and accelerating animation pipelines. Technologies demonstrated include C++, Python, local-frame math, gradient-based optimization, automated testing, and code review.

September 2025 monthly summary for graphcore/pytorch-fork. Focused on stabilizing Tensorboard logging when mixing numpy and PyTorch objects, delivering a robust fix with minimal surface area and clear testing/rollback plans.