During January 2026, Manjunath Gaonkar focused on stabilizing GPU-accelerated workloads by addressing critical runtime and testing issues across the ROCm/jax, Intel-tensorflow/xla, and ROCm/tensorflow-upstream repositories. He resolved a missing 'var' entry in Numpy signatures tests, ensuring statistical functions behaved as expected. Manjunath also fixed MIOpen library linking for RNN kernels, eliminating AttributeErrors in JAX and improving runtime reliability. His work involved Python, Bazel, and GPU programming, emphasizing robust library linking and test environment stabilization. These targeted bug fixes reduced test flakiness and enabled smoother downstream development, reflecting a deep understanding of cross-repository integration and CI reliability.