January 2026: Focused on strengthening data processing robustness in spm/spm by expanding unit test coverage for spm_opm_create with varying sensor position data in FIF files. Delivered tests to handle scenarios with no positions and partial missing positions, and implemented a maintenance fix to resolve a test harness error. Technologies demonstrated include Python and pytest in a CI-enabled workflow, with a clear emphasis on test-driven development and robust data parsing. Business value delivered includes reduced risk of processing failures and safer deployments of opm creation pipelines.

May 2025 monthly summary for spm/spm: Implemented a Smart Sampling Frequency Assignment enhancement for Neuro-1 data by updating spm_opm_create.m. The change prioritizes a predefined value from the Snew structure when available and falls back to an estimation from the time vector when not, improving data processing accuracy and reducing manual intervention. No major bugs were reported this month; the work focused on delivering a robust, repeatable sampling workflow that aligns with existing processing pipelines and standards.

Concise monthly summary for 2024-11 focused on delivering features, fixing documentation, and improving coregistration workflows across spm-docs and spm. Key outcomes include updated evoked source coregistration inputs, a dual reference point setup for improved MRI-to-head vs head-to-helmet alignment, and documentation improvements that reduce onboarding friction and ensure accurate visuals.