January 2026 performance summary for SpikeInterface/spikeinterface. The primary deliverable was the Spike Sorting: Valid Unit Periods Extension, enabling computation of reliable unit activity periods to reduce false positives and false negatives in spike sorting workflows. This feature strengthens end-user data quality and accelerates downstream analyses by highlighting reliable activity windows. The work demonstrates strong collaboration, code quality, and alignment with project standards through co-authored contributions and a well-scoped implementation. Overall impact: improved reliability and trust in spike sorting results, with measurable business value in data quality and analysis efficiency. Skills demonstrated include Python algorithm design for time-series analysis, feature extension development, testing discipline, and cross-team collaboration.

January 2025 monthly summary for DeepLabCut/DeepLabCut: Delivered a critical bug fix to video data handling that ensures video sets are represented as a list, enabling reliable indexing and preventing data processing errors. The change reduces downstream failures in video pipelines and improves data integrity in model workflows.