In February 2026, Ingyu Koh enhanced the CodeLinaro/onnxruntime repository by delivering a core feature and resolving two bugs focused on inference workload efficiency and platform compatibility. He improved WebGPU convolution correctness by fixing padding calculations for SAME_UPPER with strides greater than one, aligning results with the TypeScript implementation. Using C++, CMake, and CUDA, he optimized build-time dependencies by making cuDNN and SymPy optional, reducing install size and build friction for minimal and inference-only deployments. Koh also expanded Node.js interoperability by enabling float16 tensor input support for both Uint16Array and Float16Array, addressing previous limitations and supporting broader deployment scenarios.