During January 2026, Ahcigar focused on improving the FAIR-Chem/fairchem repository by addressing a critical issue in the LAMMPS interface. He delivered a targeted bug fix that refined the atom type extraction logic, ensuring that only local atom types were considered during data processing. This adjustment, implemented in Python and leveraging scientific computing techniques, eliminated inconsistent mappings that previously affected simulation reliability. By aligning atom-type extraction with the actual local atom count, Ahcigar enhanced the integrity of simulation inputs and reduced downstream debugging. His work contributed to more robust automated pipelines and improved data quality for users of FAIR-Chem/fairchem.