Worked on the I2PC/scipion-em-xmipp repository, delivering targeted improvements to scientific image processing workflows. Developed a feature that refactored the movie alignment protocol, replacing complex SVD decomposition and translation logic with direct transformation matrix computation to enhance trajectory correlation robustness and simplify the mathematical pipeline. Addressed a critical out-of-memory issue in the Deep Consensus Screening Protocol by adjusting batch sizes, stabilizing automated tests and enabling reliable execution in memory-constrained environments. Leveraged Python, NumPy, and scientific computing techniques to improve maintainability, reduce technical debt, and support future development, demonstrating a disciplined approach to code quality, testing, and collaborative problem-solving.