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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
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</head>
<body>
<div class="container">

  <div class="header">
    <img class="brain-gif" src="https://user-images.githubusercontent.com/25584861/137609321-0e4265a3-d17d-45f4-ba20-c23ce8bceb5c.gif" alt="brain"/>
    <div class="header-text">
      <h1>Neurologist</h1>
      <div class="subtitle">gradient descent, from ring 0.</div>
      <div class="badges">
        <a class="badge" href="https://github.com/Neurologist" target="_blank">&#128736; GitHub</a>
        <a class="badge" href="https://x.com/CryptCanvasArt" target="_blank">&#120143; @CryptCanvasArt</a>
        <span class="badge">&#128205; Los Angeles</span>
      </div>
    </div>
  </div>

  <div class="section">
    <h2>about</h2>
    <p>AI/ML engineer and systems programmer working across the full stack &mdash; from PCIe/DMA hardware interfaces to transformer inference and diffusion pipelines. VFX background. I build things that think, then make them run fast on real hardware.</p>
  </div>

  <div class="section">
    <h2>focus</h2>
    <div class="skills-grid">
      <div class="skill-card">
        <h3>&#129504; LLM Inference</h3>
        <div class="tags">vLLM &middot; llama.cpp &middot; CUDA kernels &middot; KV-cache optimization &middot; speculative decoding</div>
      </div>
      <div class="skill-card">
        <h3>&#127912; Diffusion Models</h3>
        <div class="tags">SDXL &middot; ComfyUI pipelines &middot; LoRA training &middot; VFX integration</div>
      </div>
      <div class="skill-card">
        <h3>&#128295; Systems</h3>
        <div class="tags">DMA/PCIe &middot; memory-mapped I/O &middot; kernel modules &middot; WireGuard mesh</div>
      </div>
      <div class="skill-card">
        <h3>&#129302; Multi-Agent</h3>
        <div class="tags">AutoGen &middot; LangChain &middot; tool-calling &middot; structured output &middot; edge deployment</div>
      </div>
    </div>
  </div>

  <div class="section">
    <h2>stack</h2>
    <div class="tech-row">
      <span class="tech-tag">Python</span>
      <span class="tech-tag">C++</span>
      <span class="tech-tag">Rust</span>
      <span class="tech-tag">CUDA</span>
      <span class="tech-tag">PyTorch</span>
      <span class="tech-tag">Transformers</span>
      <span class="tech-tag">vLLM</span>
      <span class="tech-tag">TensorRT</span>
      <span class="tech-tag">ONNX</span>
      <span class="tech-tag">ComfyUI</span>
      <span class="tech-tag">Docker</span>
      <span class="tech-tag">Linux</span>
    </div>
  </div>

  <div class="section">
    <h2>currently</h2>
    <ul class="focus-list">
      <li><strong>neurologist-7b-instruct</strong> &mdash; Fine-tuned Llama for technical reasoning and code generation</li>
      <li><strong>sdxl-vfx-cinematic-lora</strong> &mdash; LoRA trained on VFX reference frames for cinematic generation</li>
      <li><strong>Edge inference</strong> &mdash; Sub-200ms serving on consumer hardware (9950X + RTX)</li>
      <li><strong>Homelab mesh</strong> &mdash; 4-node WireGuard cluster for distributed inference and automation</li>
    </ul>
  </div>

  <div class="footer">building things that think &middot; los angeles</div>

</div>
</body>
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