In my current role, I spearheaded the enhancement of the renowned 3D space simulation project, Celestia. I led the forking the original C++ codebase, customizing and extending its capabilities to meet specialized project requirements, thus significantly enhancing its functionality for proprietary uses. I also designed and implemented a low-latency, multi-threaded desktop application for real-time data acquisition, which utilizes hardware acceleration to interface seamlessly with various acquisition hardware and microcontrollers. This improvement has markedly increased data collection efficiency in real-time, mission-critical environments. Additionally, I developed a robust data visualization module using Python and Matplotlib that processes and displays insightful graphs from large datasets, improving data analysis and interpretation accuracy by 50%. Furthermore, I have been responsible for maintaining, supporting, and upgrading the codebase of a 3D Nodal Plotter Simulation, implementing optimization techniques that boosted rendering performance by 33%. Additionally, I stepped up to enhance the parallel processing capabilities of our Matlab simulations.