Shiqiu Zhang enhanced WebAssembly deployment in the pytorch/pytorch repository by improving build system support for WASM-based machine learning inference. They implemented pthread compiler flags and updated the ExecuTorch runtime wrapper to enable shared memory and atomic operations in Emscripten builds, addressing compatibility issues across third-party dependencies. Using C++, Bash, and Buck, Shiqiu introduced a dedicated WASM microkernel target to ensure correct compilation and linking of XNNPACK kernels, which resolved runtime crashes during ML inference. Their validation of build stability with cpuinfo, pthreadpool, and clog components expanded the platform reach for Web and edge machine learning workloads.