Worked on enhancing neuroscience simulation tools, focusing on stability and scalability across the neuronsimulator/nrn and openbraininstitute/neurodamus repositories. Addressed data integrity by refining the STATE initialization path in C++ to ensure correct handling of ionic concentration variables when loading CoreNEURON data, reducing unnecessary reinitialization and improving load-time reliability. Developed a configurable in-memory report buffer, introducing a command-line interface for dynamic memory allocation in both NEURON and CoreNEURON environments. Fixed a bug related to duplicate stimuli insertion in multi-compartment soma models, and expanded automated test coverage using Python, resulting in more predictable performance and improved memory management for large-scale simulations.