January 2026 (SBNSoftware/sbndcode): Focused on advancing particle flow reconstruction. Key feature delivered: a merging algorithm to combine MIP-like stubs with shower cascades from split primary electrons, and recalibration of PFO scores after potential electron merges to improve track/shower analysis. This work enhances reconstruction accuracy for electron-rich events and reduces misidentification between tracks and showers. The changes are implemented in SBNSoftware/sbndcode with commits 61db99a83b479d57faa6c3c059e50c2a03913a8c and 8a6de3ffb518311cad9c5d5c20ac1642fc9acae8. Major bugs fixed: none reported in this scope; focus has been on feature development and integration. Overall impact: improved particle flow reconstruction, better track/shower discrimination, and a foundation for more robust physics analyses. Technologies/skills demonstrated: algorithm design for particle flow, MIP-like stub/shower merging, PFO score recalibration, code integration into a large software repository, and version control discipline.

December 2024: Delivered production-network aware LowE workflow enhancements with Boosted Decision Trees (BDTs) integration for DUNE/dunereco. This update aligns the workflow with production environments and enhances analytical capabilities by integrating BDT-driven data processing steps and models.

October 2024: DUNE/dunereco contributed enhancements to the Pandora XML configuration for low-energy neutrino detection and event reconstruction. This included new XML configurations and workflow tuning for low-energy processing, improving clustering, vertexing, and particle recovery accuracy. Added a dedicated Pandora low-energy workflow for HD datasets to support higher-density event reconstruction. Overall, feature-focused month with no critical bugs reported and strong alignment to business goals of improved sensitivity and data quality.