Hayden727 (Chenchen Hong) · GitHub
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Achievement: Pair Extraordinairex3Achievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

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Hayden727/README.md

Chenchen Hong

AI Infrastructure · MLSys · Compiler Systems
Large-model serving performance across kernels, schedulers, and distributed inference.

Python C++ CUDA Triton PyTorch

Inference systems
SGLang-omni, SGLang, and vLLM serving; scheduling and memory efficiency. 		RL systems
Rollout orchestration, training/inference infrastructure, and scaling workflows. 		Compiler kernels
Triton/CUDA kernels, H100/B200 tuning, codegen, and graph optimization.

Email · LinkedIn · Blog · X / Twitter · WeChat: hayden-gai

GitHub Stats

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  1. sgl-project/sglang-omni sgl-project/sglang-omni Public

    SGLang-Omni is a high-performance serving framework for audio models (TTS, ASR) and unified multimodal models.

    Python 1.1k 439

  2. sgl-project/sglang sgl-project/sglang Public

    SGLang is a high-performance serving framework for large language models and multimodal models.

    Python 35.5k 8.6k

  3. sgl-project/SpecForge sgl-project/SpecForge Public

    Train speculative decoding models effortlessly and port them smoothly to SGLang serving.

    Python 1.2k 332

  4. NVIDIA-NeMo/Automodel NVIDIA-NeMo/Automodel Public

    🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support

    Python 905 295

  5. ctorch ctorch Public

    C++ 1 1

  6. Hayden727.github.io Hayden727.github.io Public

    CSS