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bitborne/README.md

Hi, I'm Zhengtao Chen (Schatten) 👋

Visit South China University of Technology Undergraduate (2024–2028) at South China University of Technology. I build at the intersection of AI infrastructure, memory systems, and storage, with work spanning KV-cache and database systems, native memory observability, and performance-critical software in C, C++, and Python on Linux.

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Open-source footprint

Core focus: Mooncake / Mooncake Store

Upstream contributions: vLLM · vLLM-Omni · RL-Kernel · Dragonfly

Visit kvcache.ai on GitHub      Visit vLLM on GitHub      Visit RL-Align on GitHub

kvcache.ai · vLLM · RL-Align

Working set

C, C++, Python, Linux, Android, PyTorch, Bash, CMake, and Git

AI inference · KV cache · storage systems · native runtime · performance engineering

Activity

GitHub contribution summary for bitborne

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  1. vllm-project/vllm vllm-project/vllm Public

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Python 88.7k 20.5k

  2. vllm-project/vllm-omni vllm-project/vllm-omni Public

    A framework for efficient model inference with omni-modality models

    Python 6k 1.4k

  3. kvcache-ai/Mooncake kvcache-ai/Mooncake Public

    Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.

    C++ 6.2k 1.1k

  4. dragonflydb/dragonfly dragonflydb/dragonfly Public

    A modern replacement for Redis and Memcached

    C++ 31k 1.2k

  5. Kedis Kedis Public

    🚀 A persistent RESP-compatible KV store in C, architected with io_uring, eBPF, and RDMA to integrate pluggable multi-engine storage with kernel-bypass data plane optimizations.

    C 1

  6. RL-Align/RL-Kernel RL-Align/RL-Kernel Public

    High-performance RL post-training infrastructure. Designed to achieve bitwise operator-level train-inference consistency across heterogeneous engines and extreme memory efficiency for GRPO, PPO, etc.

    Python 248 66