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NolanHo/README.md

Hi, I'm Nolan.Ho

何か成す者とは歩み続ける愚者である、成せぬ者とは歩めを止めた賢者である
成一事者,矢志不渝之愚者;毁一事者,停滞不前之贤者
The achievers are the fools who keep walking; the non-achievers are the wise who have stopped.

———《ロクでなし魔術講師と禁忌教典》

About Me

I'm a Research Scientist at Mind Lab. My work sits at the intersection of LLM training and inference infrastructure — building distributed RL training systems, LLM training/inference engine, optimizing CUDA kernels, and developing self-envolving agents.

I build things across the stack: distributed training systems for RL, CUDA kernels for the hot path, Rust/Go services for the infrastructure layer, and TypeScript tooling for the agent ecosystem.

  • Currently building: distributed RL training service, LoRA fused kernel optimization, LLM KV cache storage (Rust), persistent PTY agent tooling
  • Core interests: RL training infrastructure, CUDA kernel optimization, distributed systems, LLM inference
  • Languages: Rust, Go, TypeScript, Python, CUDA

NolanHo stats card

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  1. xiaguan/pegainfer xiaguan/pegainfer Public

    Pure Rust + CUDA LLM inference engine

    Rust 341 38

  2. CurvineIO/curvine CurvineIO/curvine Public

    High-performance distributed multi-tier cache system. Built in Rust.

    Rust 764 90

  3. AReaL AReaL Public

    Forked from areal-project/AReaL

    The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.

    Python

  4. termdeck termdeck Public

    Persistent PTY terminal sessions for automation agents with CLI control and observe-only web replay

    TypeScript 4 1

  5. obsharness obsharness Public

    An observability harness for agents to search, narrow, and inspect production incidents.

    Go

  6. pi-secret-mask pi-secret-mask Public

    Pi extension that masks secrets from LLM context while still allowing tool-boundary use through ${secret:...} references.

    TypeScript 5