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Transitioning into ML systems & inference engineering
🤖
Transitioning into ML systems & inference engineering

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Yashiru/README.md
  • 👋 Hi, I’m @Yashiru
  • 🔧 Systems engineer: low-level engineering, compiler design, VM internals, Rust
  • 🚀 Transitioning into ML systems & inference engineering: how models run fast and cheap, not just how they train
  • 🌱 Currently growing into GPU programming (CUDA / Triton), PyTorch internals, and LLM inference (vLLM / SGLang)
  • 💞️ I’m looking to collaborate on Rust, low-level performance, or ML inference projects
  • 📫 How to reach me ?


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  1. oguimbal/HyVM oguimbal/HyVM Public

    Run arbitrary code on the EVM

    Solidity 265 14

  2. evm-rs-emulator evm-rs-emulator Public

    A blazingly fast in-memory Ethereum Virtual Machine (EVM) emulator written in Rust

    Rust 32 4

  3. system-engineer-to-ml-systems-transition system-engineer-to-ml-systems-transition Public

    Building toward ML systems and inference engineering, from a background in VM internals, compilers, and low-level performance.

  4. nano-autodiff nano-autodiff Public

    Scalar autograd nano engine

    Python

  5. open-huff open-huff Public archive

    Open huff is a library for secure Huff smart contract development.

    Solidity 21

  6. neural-nets-from-scratch neural-nets-from-scratch Public

    Building neural networks from scratch, from a character-level language model to a small Transformer.

    Python