Sasha contributed to backend and server development for IBM/vllm and rmusser01/llama.cpp, focusing on stability and resource optimization. For IBM/vllm, Sasha resolved a critical illegal memory access bug triggered by advanced prompting features, introducing regression tests and updating metadata handling to align block tables with model state. In rmusser01/llama.cpp, Sasha implemented an LCS-based server slot allocation algorithm in C++, improving task-slot matching and resource utilization. The work involved algorithm optimization, debugging, and testing in both C++ and Python, resulting in more robust server behavior and reduced crash risk for complex machine learning workflows. The contributions demonstrated technical depth and reliability.