Worked on the ggml-org/llama.cpp and ggml-org/ggml repositories to deliver WebGPU quantization improvements focused on backend stability and maintainability. Enhanced quantization precision and addressed NaN handling in shaders, specifically improving f16 memory management and numerical correctness for operations like EXP and EXPM1. Refactored quantization helpers and stabilized the backend lifecycle by ensuring persistent Dawn/WebGPU instances, which improved both reliability and performance. The work included code cleanup, removal of deprecated quantization structures, and upstream synchronization to reduce codebase divergence. Utilized C++, WGSL, and GPU programming techniques to implement these features, emphasizing maintainable and robust model performance enhancements.