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Hanchenng Wu

PROFILE

Hanchenng Wu

Worked on compiler infrastructure across llvm-project and torch-mlir, focusing on stability and correctness in MLIR-based pipelines. Delivered targeted bug fixes in C++ and MLIR, such as restoring error messages and aligning test expectations to resolve post-merge failures in swiftlang/llvm-project, which improved CI reliability. In llvm-project, addressed quantized model accuracy by replacing integer division with floordiv in TOSA to Linalg lowering, eliminating extrapolation errors. Enhanced memory safety in torch-mlir by introducing safe index logic for EmbeddingBag lowering, preventing out-of-bounds accesses. Demonstrated expertise in compiler development, debugging, and low-level optimization, with a strong emphasis on robust, maintainable code.

Overall Statistics

Feature vs Bugs

0%Features

Repository Contributions

3Total
Bugs
3
Commits
3
Features
0
Lines of code
2,427
Activity Months3

Work History

June 2026

1 Commits

Jun 1, 2026

June 2026: llvm/torch-mlir delivered a critical memory-safety fix in EmbeddingBag lowering under TorchToLinalg. The patch eliminates a potential out-of-bounds tensor.extract by introducing a safe fallback index for edge-case paths (notably the last bag), preserving functional semantics while preventing undefined behavior. This strengthens the reliability of the TorchToLinalg lowering path and embedding_bag support across the compiler stack.

April 2026

1 Commits

Apr 1, 2026

April 2026 monthly summary for llvm-project focused on correctness and stability in the MLIR/TOSA pipeline. Implemented a critical bug fix in the integer bilinear resize path from TOSA to Linalg for quantized models. Replaced DivSIOp with FloorDivSIOp to correctly handle negative offsets, ensuring interpolation weights stay within the valid range and eliminating extrapolation errors during lowering. The change improves reliability of the quantized resize path and reduces downstream risk in MLIR-based toolchains.

October 2025

1 Commits

Oct 1, 2025

October 2025 monthly summary: Stabilized MLIR runtime verification tests in swiftlang/llvm-project by delivering a regression fix for the generate-runtime-verification pass. Restored a previously removed error message and updated FileChecks op strings to align with the input MLIR formats, resolving post-merge test failures and improving CI reliability. The work enhances test determinism and accelerates PR validation in the LLVM project.

Activity

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Quality Metrics

Correctness100.0%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage33.4%

Skills & Technologies

Programming Languages

C++MLIR

Technical Skills

C++Code ConversionCompiler DesignCompiler DevelopmentDebuggingLow-Level OptimizationMLIRNumerical ComputationPyTorchPythonTesting

Repositories Contributed To

3 repos

Overview of all repositories you've contributed to across your timeline

swiftlang/llvm-project

Oct 2025 Oct 2025
1 Month active

Languages Used

C++MLIR

Technical Skills

Compiler DevelopmentDebuggingTesting

llvm/llvm-project

Apr 2026 Apr 2026
1 Month active

Languages Used

C++MLIR

Technical Skills

Code ConversionCompiler DevelopmentLow-Level OptimizationNumerical Computation

llvm/torch-mlir

Jun 2026 Jun 2026
1 Month active

Languages Used

No languages

Technical Skills

C++Compiler DesignMLIRPyTorchPython