Demonstrating Genuine Experience

<article class="experience-rich-content">
  <!-- Author Experience Block -->
  <div class="author-experience" itemscope itemtype="https://schema.org/Person">
    <h3>About the Author</h3>
    <div class="experience-credentials">
      <img src="author-photo.jpg" alt="Sarah Chen at OpenAI DevDay 2024" 
           itemprop="image">
      <div itemprop="description">
        <p><strong itemprop="name">Dr. Sarah Chen</strong> has spent 
        <span class="experience-duration">12 years</span> developing and 
        implementing AI systems, including:</p>
        <ul class="experience-highlights">
          <li>Led GPT integration for Fortune 500 companies (2019-2024)</li>
          <li>Published 47 papers on transformer architectures</li>
          <li>Trained over 10,000 engineers in prompt engineering</li>
          <li>Built production LLM systems processing 1M+ queries/day</li>
        </ul>
      </div>
    </div>
  </div>
  
  <!-- First-Hand Case Study -->
  <section class="experience-evidence">
    <h2>Case Study: Implementing Result Optimization at Scale</h2>
    <div class="personal-experience">
      <p><strong>The Challenge:</strong> In March 2024, our team at 
      TechCorp faced a 67% drop in organic traffic after Google's AI 
      Overview update.</p>
      
      <figure class="experience-proof">
        <img src="analytics-screenshot-before.png" 
             alt="Google Analytics showing traffic drop from 150K to 50K sessions">
        <figcaption>Our actual analytics showing the immediate impact</figcaption>
      </figure>
      
      <p><strong>What We Did:</strong> I personally led the Result 
      Optimization transformation:</p>
      
      <div class="implementation-details">
        <h4>Week 1-2: Evidence Layer Implementation</h4>
        <p>We started by auditing all 2,847 pages. Here's the exact 
        Python script I wrote:</p>
        <pre><code>import requests
from bs4 import BeautifulSoup

def audit_evidence_quality(urls):
    results = []
    for url in urls:
        soup = BeautifulSoup(requests.get(url).text, 'html.parser')
        evidence_score = calculate_evidence_density(soup)
        results.append({
            'url': url,
            'citations': len(soup.find_all('cite')),
            'data_points': len(soup.find_all('data')),
            'evidence_score': evidence_score
        })
    return results</code></pre>
      </div>
      
      <div class="results-achieved">
        <h4>The Results (My Screenshots):</h4>
        <figure>
          <img src="analytics-screenshot-after.png" 
               alt="Recovery to 198K sessions with 32% in AI Overviews">
          <figcaption>Traffic recovered to 132% of original, with 
          significant AI Overview presence</figcaption>
        </figure>
      </div>
    </div>
  </section>
</article>