
Worked on performance optimization and reliability improvements across deep learning and CI workflows. In the ROCm/aiter repository, developed experimental pa_ragged GPU kernels and enhanced K-cache loading for the attention mechanism, leveraging CUDA and C++ to improve memory access patterns and throughput. Later, introduced a transpose_scale flag to the FP8 quantization path, enabling more efficient GEMM operations in PyTorch without breaking backward compatibility. Addressed CI reliability in ping1jing2/sglang by implementing environment-driven test skipping for flaky Lora tests, using Python and CI/CD best practices. Demonstrated a focus on targeted, maintainable enhancements and robust testing throughout each project.
June 2026 monthly summary for ROCm/aiter: Delivered a performance-focused enhancement to the FP8 quantization path with a transpose_scale flag, enabling downstream GEMM to bypass unnecessary transpose and copy steps. The change preserves backward compatibility and is implemented as a wrapper-only update to ensure safe rollout. This work aligns with performance goals for FP8 workflows and lays groundwork for further optimizations in the quantization path.
June 2026 monthly summary for ROCm/aiter: Delivered a performance-focused enhancement to the FP8 quantization path with a transpose_scale flag, enabling downstream GEMM to bypass unnecessary transpose and copy steps. The change preserves backward compatibility and is implemented as a wrapper-only update to ensure safe rollout. This work aligns with performance goals for FP8 workflows and lays groundwork for further optimizations in the quantization path.
March 2026 monthly summary for ping1jing2/sglang: Delivered a targeted CI reliability improvement by mitigating a flaky Lora CI test through environment-driven test skipping. This change reduces flaky failures in the Lora test suite, stabilizing CI feedback and accelerating development cycles. Co-authored by YC Tseng; references PR #20175.
March 2026 monthly summary for ping1jing2/sglang: Delivered a targeted CI reliability improvement by mitigating a flaky Lora CI test through environment-driven test skipping. This change reduces flaky failures in the Lora test suite, stabilizing CI feedback and accelerating development cycles. Co-authored by YC Tseng; references PR #20175.
2025-11 monthly summary for ROCm/aiter: Focused on performance optimization of the attention mechanism through experimental pa_ragged kernels and K-cache enhancements. Implemented double-buffered K-cache loading, non-temporal KV loads, and a 64-thread K-cache path into LDS, with MFMA-aligned data distribution. Added unit tests and committed under Jacchang/pa ragged experimental (#1479).
2025-11 monthly summary for ROCm/aiter: Focused on performance optimization of the attention mechanism through experimental pa_ragged kernels and K-cache enhancements. Implemented double-buffered K-cache loading, non-temporal KV loads, and a 64-thread K-cache path into LDS, with MFMA-aligned data distribution. Added unit tests and committed under Jacchang/pa ragged experimental (#1479).

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