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v-code01/README.md

Vansh Verma

ai infrastructure & ml systems engineer

i build the low-level systems that keep AI fast, correct, and cheap in production: GPU kernels down to PTX/SASS, inference runtimes, distributed training, and distributed systems proven in TLA+.

website linkedin x

what i build

the rare overlap most engineers don't span: sub-millisecond high-frequency-trading infrastructure (25TB of market data a day, behind $2M+ in trading decisions) and frontier ML-infrastructure: custom CUDA kernels, 8:1 multi-tenant GPU sharing at sub-50ms, vLLM serving stacks, distributed training across H100/H200 clusters.

the work, the writing, the full breakdown

→ vanshverma.com

in-depth notes on GPU internals, inference, and AI-systems architecture live there.

rust · cuda · ptx · sass · go · c++ · tla+ · kubernetes · vllm · nccl

Pinned Loading

  1. nemesis nemesis Public

    Rust 1

  2. phantom phantom Public

    Zero-copy multi-agent LLM KV-cache serving on Apple Silicon Unified Memory

    Rust 1

  3. ledge ledge Public

    Git-compatible, content-addressed storage infrastructure for agent-scale workloads. Source-available (BSL 1.1).

    Rust