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 <h1 class="text-4xl md:text-5xl font-bold leading-tight mb-6">
 >_ AI RESEARCH <br/>
 <span class="text-gray-600">LLMs • Agents • Evaluation • Data</span>
 </h1>
 <p class="mb-8 text-lg">
 Technical deep dives into language models, autonomous agents, evaluation methodologies,
and synthetic data generation. No fluff, just code and concepts.
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 <span class="text-green-400"># Latest research focus</span><br/>
 <span class="text-blue-400">def</span> evaluate_agent(<span class="text-yellow-400">agent</span>, <span class="text-yellow-400">tasks</span>):<br/>
 &nbsp;&nbsp;<span class="text-blue-400">return</span> {<br/>
 &nbsp;&nbsp;&nbsp;&nbsp;<span class="text-purple-400">"accuracy"</span>: calculate_metrics(),<br/>
 &nbsp;&nbsp;&nbsp;&nbsp;<span class="text-purple-400">"robustness"</span>: stress_test()<br/>
 &nbsp;&nbsp;}<br/><br/>
 <span class="text-gray-500">>_ Running evaluation...</span>
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<!-- Featured Articles -->
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 <h2 class="text-3xl font-bold mb-2">LATEST ARTICLES</h2>
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 Technical write-ups on current research topics
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 <div class="flex flex-wrap gap-2 mb-4">
 <span class="tag text-xs font-medium px-2.5 py-0.5 rounded">LLMs</span>
 <span class="tag text-xs font-medium px-2.5 py-0.5 rounded">Evaluation</span>
 </div>
 <h3 class="text-xl font-bold mb-2">Beyond Accuracy: Comprehensive LLM Evaluation</h3>
 <p class="mb-4">
 Implementing multi-dimensional evaluation frameworks that go beyond simple accuracy metrics to assess model robustness, bias, and reasoning capabilities.
 </p>
 <div class="flex items-center text-sm">
 <span>2023-06-15</span>
 <span class="mx-2">•</span>
 <span>12 min read</span>
 </div>
 </div>
<!-- Article 2 -->
 <div class="article-card p-6 rounded">
 <div class="flex flex-wrap gap-2 mb-4">
 <span class="tag text-xs font-medium px-2.5 py-0.5 rounded">Agents</span>
 <span class="tag text-xs font-medium px-2.5 py-0.5 rounded">Architecture</span>
 </div>
 <h3 class="text-xl font-bold mb-2">Building Stateful AI Agents</h3>
 <p class="mb-4">
 Architectural patterns for creating agents with memory and learning capabilities using transformer-based models and reinforcement learning.
 </p>
 <div class="flex items-center text-sm">
 <span>2023-05-28</span>
 <span class="mx-2">•</span>
 <span>15 min read</span>
 </div>
 </div>
<!-- Article 3 -->
 <div class="article-card p-6 rounded">
 <div class="flex flex-wrap gap-2 mb-4">
 <span class="tag text-xs font-medium px-2.5 py-0.5 rounded">Data</span>
 <span class="tag text-xs font-medium px-2.5 py-0.5 rounded">Generation</span>
 </div>
 <h3 class="text-xl font-bold mb-2">Synthetic Data at Scale</h3>
 <p class="mb-4">
 Techniques for generating high-quality synthetic training data using LLMs, with quality control mechanisms and diversity metrics.
 </p>
 <div class="flex items-center text-sm">
 <span>2023-04-12</span>
 <span class="mx-2">•</span>
 <span>10 min read</span>
 </div>
 </div>
<!-- Article 4 -->
 <div class="article-card p-6 rounded">
 <div class="flex flex-wrap gap-2 mb-4">
 <span class="tag text-xs font-medium px-2.5 py-0.5 rounded">Evaluation</span>
 <span class="tag text-xs font-medium px-2.5 py-0.5 rounded">Metrics</span>
 </div>
 <h3 class="text-xl font-bold mb-2">Dynamic Evaluation Frameworks</h3>
 <p class="mb-4">
 Creating adaptive evaluation systems that evolve with model capabilities, focusing on edge cases and failure modes.
 </p>
 <div class="flex items-center text-sm">
 <span>2023-03-05</span>
 <span class="mx-2">•</span>
 <span>8 min read</span>
 </div>
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 <div class="code-block bg-gray-900">
 <span class="text-green-400"># About the researcher</span><br/>
 <span class="text-blue-400">class</span> Researcher:<br/>
 &nbsp;&nbsp;<span class="text-blue-400">def</span> __init__(<span class="text-yellow-400">self</span>):<br/>
 &nbsp;&nbsp;&nbsp;&nbsp;<span class="text-yellow-400">self</span>.focus = [<br/>
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<span class="text-purple-400">"LLMs"</span>,<br/>
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<span class="text-purple-400">"Agents"</span>,<br/>
 &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<span class="text-purple-400">"Evaluation"</span><br/>
 &nbsp;&nbsp;&nbsp;&nbsp;]<br/>
 &nbsp;&nbsp;&nbsp;&nbsp;<span class="text-yellow-400">self</span>.experience = <span class="text-purple-400">"5+ years"</span>
 </div>
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 <h2 class="text-3xl font-bold mb-6">ABOUT</h2>
 <div class="divider w-20 h-px my-4 bg-white"></div>
 <p class="mb-4">
 I'm an AI researcher and engineer with a focus on developing and evaluating large language models and autonomous agent systems. My work sits at the intersection of machine learning, software engineering, and empirical research methodology.
 </p>
 <p class="mb-6">
 Current research interests include:
 </p>
 <ul class="list-disc pl-5 mb-6 space-y-2">
 <li>Novel evaluation methodologies for generative models</li>
 <li>Architectures for long-term memory in AI agents</li>
 <li>Scalable synthetic data generation techniques</li>
 <li>Failure mode analysis in LLMs</li>
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 <li><a href="#" class="hover:text-white">AUTONOMOUS AGENTS</a></li>
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