2025-08: Intel/onnxruntime delivered a key interoperability feature enhancing WebNN compatibility. Implemented non-zero zero_point support for int32 inputs in DequantizeLinear, backed by commit 0b15200243c2522fb33a6b3d133176a0c6738a73. No major bugs fixed this month; focus was on delivering the feature, improving the quantization path, and preparing for broader WebNN deployments. Technologies demonstrated include quantization/dequantization logic, C++ development, and WebNN interoperability.

June 2025 focused on expanding WebNN QDQ fusion test coverage for TensorFlow Lite and hardening key delegate paths to improve reliability and business value. In mozilla/gecko-dev, delivered comprehensive QDQ fusion tests across pad, clamp, and element-wise logical operations for TFLite, validating fusion correctness for quantized data paths and edge-case scenarios (reflection/constant modes, emulation, and int32 casting). In Intel-tensorflow/tensorflow, reinforced the TensorFlow Lite XNNPACK delegate by tightening padding dimension handling for greater robustness and correctness of tensor operations.