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<body>
  <div class="wrap">

    <div class="topbar">
      <div class="pill">LLM Inference • Serving Systems • Safety • Privacy</div>
      <div class="pill">Apex, North Carolina</div>
      <nav class="pill" aria-label="Site">
        <a href="/">Home</a>
        <a href="/about/">About</a>
        <a href="/blog/">Blog</a>
      </nav>
    </div>

    <section class="hero">
      <h1>Venkata Rami Reddy Kallu</h1>
      <p class="subtitle">Senior AI Engineer | LLM Inference, Serving Systems, Safety & Privacy</p>

      <p class="lede">
        I design and build <strong>production-grade AI systems</strong> across
        <strong>LLM inference, serving infrastructure, and safe tool execution</strong>.
        My work spans <strong>runtime optimization</strong>, <strong>auditable AI workflows</strong>,
        and <strong>privacy-preserving ML</strong> for text and audio applications.
      </p>

      <div class="cta">
        <a class="btn primary" href="https://github.com/ramsred/policygraph-mcp" target="_blank" rel="noreferrer">
          PolicyGraph (GitHub)
        </a>
        <a class="btn" href="mailto:venkataramireddy534@gmail.com">Email</a>
        <a class="btn" href="https://github.com/ramsred" target="_blank" rel="noreferrer">GitHub</a>
        <!-- Add LinkedIn / Resume when ready -->
        <!-- <a class="btn" href="YOUR_LINKEDIN_URL" target="_blank" rel="noreferrer">LinkedIn</a> -->
        <!-- <a class="btn" href="/assets/resume.pdf" target="_blank" rel="noreferrer">Resume</a> -->
      </div>

      <div class="grid">
        <div class="card">
          <h2>What I build</h2>
          <p class="muted" style="margin-top:0">
            My work sits at the boundary between <strong>engineering and applied research</strong>,
            with a focus on systems that are <strong>measurable</strong>, <strong>reliable</strong>,
            <strong>auditable</strong>, and <strong>safe by design</strong>.
          </p>

          <ul>
            <li>LLM inference and serving systems</li>
            <li>Safe and governed tool-using AI runtimes</li>
            <li>Benchmarking, runtime validation, and deployment workflows</li>
            <li>Privacy-preserving synthetic voice detection</li>
          </ul>

          <p class="muted" style="margin-top:12px;margin-bottom:0">
            I’m especially interested in <strong>AI inference</strong>, <strong>serving platforms</strong>,
            <strong>runtime enforcement</strong>, and <strong>privacy-conscious production AI systems</strong>.
          </p>
        </div>

        <div class="card">
          <h2>Now</h2>
          <p class="muted" style="margin-top:0">
            What I’m actively building and exploring:
          </p>
          <ul>
            <li>PolicyGraph: a reproducible safety runtime for MCP tool execution</li>
            <li>Inference systems work around vLLM, TensorRT-LLM, Triton, and Kubernetes</li>
            <li>OWASP-aligned evaluation and contract tests for agent safety</li>
            <li>Follow-up research on runtime enforcement patterns and privacy-preserving AI</li>
          </ul>

          <div class="divider"></div>

          <h2 style="margin-top:0">Focus</h2>
          <div class="tagrow">
            <span class="tag">LLM Inference</span>
            <span class="tag">Serving Systems</span>
            <span class="tag">Kubernetes</span>
            <span class="tag">AI Safety</span>
            <span class="tag">AI Governance</span>
            <span class="tag">Tool-Using Agents</span>
            <span class="tag">Privacy-Preserving ML</span>
            <span class="tag">Synthetic Voice Detection</span>
          </div>
        </div>
      </div>
    </section>

    <div class="kicker">
      <h2>Featured work</h2>
      <span class="small">Selected highlights across inference, safety, and privacy</span>
    </div>

    <section class="triple">
      <div class="card">
        <h3>LLM Inference Systems Lab</h3>
        <p class="muted" style="margin-top:0">
          Hands-on work across modern LLM serving stacks and deployment workflows.
        </p>
        <ul>
          <li>vLLM, TensorRT-LLM, and Triton-based serving experiments</li>
          <li>Quantization, KV-cache behavior, and long-context memory tradeoffs</li>
          <li>Kubernetes-based deployment and benchmarking workflows</li>
        </ul>
      </div>

      <div class="card">
        <h3>PolicyGraph</h3>
        <p class="muted" style="margin-top:0">
          A policy-gated runtime for <strong>safe and auditable</strong> MCP tool execution.
        </p>
        <ul>
          <li>Default-deny tool authorization</li>
          <li>Schema-constrained planning</li>
          <li>Typed output validation</li>
          <li>Evidence-locked summaries</li>
        </ul>
        <div class="cta" style="margin-top:14px">
          <a class="btn primary" href="https://github.com/ramsred/policygraph-mcp" target="_blank" rel="noreferrer">
            View repository
          </a>
        </div>
      </div>

      <div class="card">
        <h3>Privacy-Preserving Synthetic Voice Detection</h3>
        <p class="muted" style="margin-top:0">
          Filed systems patent work focused on detecting spoofed speech while minimizing
          speaker identity leakage.
        </p>
        <ul>
          <li>Detect AI-generated or spoofed speech reliably</li>
          <li>Reduce sensitive identity leakage</li>
          <li>Support privacy-sensitive deployment environments</li>
        </ul>
      </div>
    </section>

    <div class="kicker">
      <h2>Selected capabilities</h2>
      <span class="small">A concise view of the areas I work across</span>
    </div>

    <section class="grid">
      <div class="card">
        <h2>Inference & Serving</h2>
        <div class="tagrow">
          <span class="tag">vLLM</span>
          <span class="tag">TensorRT-LLM</span>
          <span class="tag">Triton</span>
          <span class="tag">Quantization</span>
          <span class="tag">KV Cache</span>
          <span class="tag">Benchmarking</span>
          <span class="tag">Long Context</span>
        </div>
      </div>

      <div class="card">
        <h2>Safety, Governance & Privacy</h2>
        <div class="tagrow">
          <span class="tag">Runtime Validation</span>
          <span class="tag">Tool Governance</span>
          <span class="tag">Auditable AI</span>
          <span class="tag">Evidence-Backed Summaries</span>
          <span class="tag">Privacy-Preserving ML</span>
          <span class="tag">Synthetic Voice Detection</span>
        </div>
      </div>
    </section>

    <div class="kicker">
      <h2>Research & IP</h2>
      <span class="small">Production systems with research depth</span>
    </div>

    <section class="card">
      <h3>PolicyGraph Paper + Patent Direction</h3>
      <p class="muted" style="margin-top:0">
        My broader work explores how to make AI systems safer and more enforceable in practice —
        through <strong>policy-gated execution</strong>, <strong>runtime validation</strong>,
        and <strong>privacy-preserving system design</strong>.
      </p>
      <ul>
        <li>PolicyGraph submitted to TechRxiv</li>
        <li>Filed systems patent on privacy-preserving synthetic voice detection</li>
        <li>Ongoing follow-up work on runtime enforcement patterns for safe AI systems</li>
      </ul>
    </section>

    <footer>
      <div>
        <a href="mailto:venkataramireddy534@gmail.com">venkataramireddy534@gmail.com</a>
        <span class="dot">•</span>
        <a href="https://github.com/ramsred" target="_blank" rel="noreferrer">github.com/ramsred</a>
      </div>
      <div class="small">© <span id="y"></span> Venkata Rami Reddy Kallu</div>
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