Jiawei Wu enhanced the llvm/torch-mlir repository by improving the lowering of Torch index-like operations for StableHLO compatibility. Focusing on C++ and MLIR, Jiawei refined the translation path to StableHLO’s gather and scatter operations, addressing broadcasting semantics and shape alignment to ensure correct dimension handling. This work enables Torch models using index-like operations to deploy more reliably on StableHLO-backed backends, reducing issues related to dimension mismatches. The engineering effort demonstrated a solid grasp of tensor manipulation and compiler infrastructure, delivering a targeted feature that improves interoperability and deployment workflows for machine learning models within the StableHLO ecosystem.