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-<!DOCTYPE html>
-<html lang="en">
-<head>
-  <meta charset="UTF-8" />
-  <meta name="viewport" content="width=device-width, initial-scale=1" />
-  <title>Rakesh Kumar — Product Manager Portfolio</title>
-  <meta name="description" content="Rakesh Kumar | AI Product Manager & AI Lead with 7+ years experience in AI, healthcare, and e-commerce. Portfolio, case studies, and achievements." />
-  <meta property="og:title" content="Rakesh Kumar — Product Manager Portfolio" />
-  <meta property="og:description" content="AI Product Manager & AI Lead | Building AI agents, RAG platforms, data products. Explore case studies and achievements." />
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-  <link rel="stylesheet" href="styles.css" />
-</head>
-<body>
-  <header class="site-header">
-    <nav class="container nav">
-      <a class="brand" href="#top" aria-label="Rakesh Kumar Home">
-        <!-- Accessible SVG monogram instead of photo -->
-        <svg class="logo" viewBox="0 0 64 64" role="img" aria-label="RK logo" xmlns="http://www.w3.org/2000/svg">
-          <defs>
-            <linearGradient id="g" x1="0" x2="1">
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-              <stop offset="100%" stop-color="#22c55e"/>
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-          <circle cx="32" cy="32" r="30" fill="url(#g)"/>
-          <text x="50%" y="54%" text-anchor="middle" font-size="28" font-family="Inter, system-ui, -apple-system, Segoe UI, Roboto, Arial" font-weight="800" fill="#ffffff">RK</text>
-        </svg>
-        <span>Rakesh Kumar</span>
-      </a>
-      <button class="nav-toggle" id="navToggle" aria-label="Toggle navigation">☰</button>
-      <ul class="nav-links" id="navLinks">
-        <li><a href="#about">About</a></li>
-        <li><a href="#metrics">Impact</a></li>
-        <li><a href="#experience">Experience</a></li>
-        <li><a href="#cases">Case Studies</a></li>
-        <li><a href="#skills">Skills</a></li>
-        <li><a href="#contact">Contact</a></li>
-        <li><button id="themeToggle" class="ghost">🌙</button></li>
-      </ul>
-    </nav>
-  </header>
-  <main id="top">
-    <!-- Hero -->
-    <section class="hero container" id="about">
-      <div class="hero-text">
-        <img class="profile-photo" src="images/profile.svg" alt="Rakesh Kumar">
-        <h1>AI Product Manager & AI Lead</h1>
-        <p class="subtitle">7+ years building agentic AI, RAG platforms, data products, and high-impact customer experiences across healthcare, e-commerce, and IT.</p>
-        <div class="cta">
-          <a class="btn primary" href="#cases">View Case Studies</a>
-          <button class="btn" id="printBtn" aria-label="Save portfolio as PDF">Download PDF</button>
-          <a class="btn ghost" href="https://www.linkedin.com/in/rakesh--kumar-2a308b50" target="_blank" rel="noopener">LinkedIn</a>
-        </div>
-        <ul class="quick-facts">
-          <li>Location: India</li>
-          <li>Email: <a href="mailto:p18rakeshk@iima.ac.in">p18rakeshk@iima.ac.in</a></li>
-          <li>Phone: <a href="tel:+919004260456">+91-9004260456</a> / <a href="tel:+916359017259">6359017259</a></li>
-        </ul>
-      </div>
-    </section>
-    <!-- Impact Metrics -->
-    <section class="section container" id="metrics">
-      <h2>Product Impact</h2>
-      <div class="cards">
-        <article class="card kpi"><h3>70%+</h3><p>Manual tasks reduced using agentic AI workflows</p></article>
-        <article class="card kpi"><h3>80%</h3><p>Faster insight generation with BI dashboards</p></article>
-        <article class="card kpi"><h3>10×</h3><p>Clinical research turnaround acceleration</p></article>
-        <article class="card kpi"><h3>85%</h3><p>ML + LLM diet engine accuracy</p></article>
-        <article class="card kpi"><h3>20k+</h3><p>Users onboarded in 90 days (coach-driven wellness)</p></article>
-        <article class="card kpi"><h3>$50k+/mo</h3><p>Incremental revenue via recommendations</p></article>
-        <article class="card kpi"><h3>3×</h3><p>Experimentation velocity (AI playground)</p></article>
-        <article class="card kpi"><h3>1M INR</h3><p>GMV leakage prevented per month</p></article>
-      </div>
-    </section>
-    <!-- Experience Timeline -->
-    <section class="section container" id="experience">
-      <h2>Professional Experience</h2>
-      <ol class="timeline">
-        <li>
-          <div class="time">Feb 2023 – Present</div>
-          <div class="content">
-            <svg class="icon" viewBox="0 0 24 24" xmlns="http://www.w3.org/2000/svg"><path d="M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm0 18c-4.41 0-8-3.59-8-8s3.59-8 8-8 8 3.59 8 8-3.59 8-8 8zm0-14c-3.31 0-6 2.69-6 6s2.69 6 6 6 6-2.69 6-6-2.69-6-6-6zm0 10c-2.21 0-4-1.79-4-4s1.79-4 4-4 4 1.79 4 4-1.79 4-4 4z" fill="url(#g)"/></svg>
-            <h3>AI Product Manager & AI Lead — Dr. Reddy’s (Svaas Wellness)</h3>
-            <ul>
-              <li>Built agentic AI framework to automate workflows and fine-tune LLMs; reduced manual tasks by 70%.</li>
-              <li>Architected RAG pipeline for clinical intelligence with customized data cleaning and ingestion; 5% better retrieval score than Azure managed services.</li>
-              <li>Designed Deep Research Agent for clinical studies; cut research turnaround time by 10×.</li>
-              <li>Architected GenAI voice agent for clinical support with <4s latency enabling real-time interactions.</li>
-              <li>Developed internal AI Playground for rapid product and design teams; 3× faster prototyping and AI experimentation.</li>
-              <li>Engineered ML + LLM-based diet engine achieving 85% accuracy.</li>
-              <li>Integrated RAG agent into BI dashboards; 80% faster insight generation and self-serve analytics.</li>
-              <li>Implemented symptom analyzer and health risk assessment tool impacting 5k+ users in 4 months.</li>
-            </ul>
-          </div>
-        </li>
-        <li>
-          <div class="time">Dec 2021 – Jan 2023</div>
-          <div class="content">
-            <svg class="icon" viewBox="0 0 24 24" xmlns="http://www.w3.org/2000/svg"><path d="M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm0 18c-4.41 0-8-3.59-8-8s3.59-8 8-8 8 3.59 8 8-3.59 8-8 8zm0-14c-3.31 0-6 2.69-6 6s2.69 6 6 6 6-2.69 6-6-2.69-6-6-6zm0 10c-2.21 0-4-1.79-4-4s1.79-4 4-4 4 1.79 4 4-1.79 4-4 4z" fill="url(#g)"/></svg>
-            <h3>Product Manager (Customer Success, New Initiatives, Platform) — MediBuddy</h3>
-            <ul>
-              <li>Built tool generating valuable customer feedback; improved adoption and messaging.</li>
-              <li>Scaled B2B CS support and automated systems; raised CSAT from 2.8 to 4 and first contact resolution by 10%.</li>
-              <li>Launched social media automation; boosted organic reach.</li>
-              <li>Accelerated refunds with all payment sources; automated claims with third parties and insurers.</li>
-            </ul>
-          </div>
-        </li>
-        <li>
-          <div class="time">Jul 2020 – Dec 2021</div>
-          <div class="content">
-            <svg class="icon" viewBox="0 0 24 24" xmlns="http://www.w3.org/2000/svg"><path d="M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm0 18c-4.41 0-8-3.59-8-8s3.59-8 8-8 8 3.59 8 8-3.59 8-8 8zm0-14c-3.31 0-6 2.69-6 6s2.69 6 6 6 6-2.69 6-6-2.69-6-6-6zm0 10c-2.21 0-4-1.79-4-4s1.79-4 4-4 4 1.79 4 4-1.79 4-4 4z" fill="url(#g)"/></svg>
-            <h3>Data Product Manager — eShakti</h3>
-            <ul>
-              <li>Improved conversion by 7% for new users via enhanced product discovery funnel.</li>
-              <li>Increased customization usage by 9% with $30,000+ per month CLV uplift.</li>
-              <li>Improved onsite search and sorting; 5% overall sales increase and $15,000/month reduction in overstock.</li>
-              <li>Built recommendation engine yielding $50,000+/month incremental revenue and 8% retention improvement.</li>
-            </ul>
-          </div>
-        </li>
-        <li>
-          <div class="time">Jul 2015 – Apr 2018</div>
-          <div class="content">
-            <svg class="icon" viewBox="0 0 24 24" xmlns="http://www.w3.org/2000/svg"><path d="M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm0 18c-4.41 0-8-3.59-8-8s3.59-8 8-8 8 3.59 8 8-3.59 8-8 8zm0-14c-3.31 0-6 2.69-6 6s2.69 6 6 6 6-2.69 6-6-2.69-6-6-6zm0 10c-2.21 0-4-1.79-4-4s1.79-4 4-4 4 1.79 4 4-1.79 4-4 4z" fill="url(#g)"/></svg>
-            <h3>Software Engineer — Capgemini India Pvt. Ltd.</h3>
-            <ul>
-              <li>Resolved 10+ post-production issues; stabilized a web application.</li>
-              <li>30% reduction in waiting time with 15+ new features enhancing UX.</li>
-              <li>Cut lead time of an upload service by 60% and reduced report generation time by 50%.</li>
-              <li>Developed and trained ML models using RNN, NN, and CNN for training programs.</li>
-            </ul>
-          </div>
-        </li>
-      </ol>
-    </section>
-    <!-- Case Studies -->
-    <section class="section container" id="cases">
-      <h2>Selected Case Studies</h2>
-      <div class="cases">
-        <details class="case">
-          <summary>
-            <h3>Agentic AI Platform — Healthcare</h3>
-            <p class="tags"><span>AI Agents</span> <span>LLM</span> <span>Automation</span></p>
-          </summary>
-          <div class="case-details">
-            <h4>Problem</h4>
-            <p>Manual processes and slow iteration for AI features across teams.</p>
-            <h4>Action</h4>
-            <p>Built a reusable agentic AI framework, custom data pipelines, and evaluation harness; integrated into BI stack.</p>
-            <h4>Impact</h4>
-            <p>70% reduction in manual tasks; 3× faster prototyping; 80% quicker insight generation.</p>
-            <h4>Business Case</h4>
-            <p>Addressed inefficiencies in healthcare workflows by leveraging AI to automate repetitive tasks, enabling faster decision-making and resource allocation for clinical teams.</p>
-            <h4>PRD Highlights</h4>
-            <ul>
-              <li>Core Features: Agentic workflows, LLM fine-tuning, RAG integration for BI dashboards.</li>
-              <li>Success Metrics: Task reduction >70%, insight generation time <20% of original.</li>
-              <li>Tech Stack: Python, LangChain, custom RAG pipelines.</li>
-              <li>Stakeholders: Product, Design, Clinical teams.</li>
-            </ul>
-          </div>
-        </details>
-        <details class="case">
-          <summary>
-            <h3>Deep Research Agent — Clinical Studies</h3>
-            <p class="tags"><span>RAG</span> <span>Search</span> <span>Healthcare</span></p>
-          </summary>
-          <div class="case-details">
-            <h4>Problem</h4>
-            <p>Clinicians needed rapid, reliable summaries from large corpora.</p>
-            <h4>Action</h4>
-            <p>Architected custom retrieval with domain-specific cleaning, chunking, and evaluation.</p>
-            <h4>Impact</h4>
-            <p>10× faster research turnaround with improved retrieval scores.</p>
-            <h4>Business Case</h4>
-            <p>Accelerated clinical research processes to bring insights to market faster, reducing time-to-decision in drug development and patient care.</p>
-            <h4>PRD Highlights</h4>
-            <ul>
-              <li>Core Features: Advanced RAG with custom data ingestion, low-latency querying.</li>
-              <li>Success Metrics: Turnaround time reduction to 10%, retrieval accuracy >95%.</li>
-              <li>Tech Stack: Vector DB, custom embeddings, evaluation harness.</li>
-              <li>Stakeholders: Clinicians, Researchers.</li>
-            </ul>
-          </div>
-        </details>
-        <details class="case">
-          <summary>
-            <h3>Recommendations at Scale — eCommerce</h3>
-            <p class="tags"><span>Recommender Systems</span> <span>Data Platform</span> <span>Experimentation</span></p>
-          </summary>
-          <div class="case-details">
-            <h4>Problem</h4>
-            <p>Low discovery and high overstock.</p>
-            <h4>Action</h4>
-            <p>Built hybrid recommendation engine and improved onsite search & sorting.</p>
-            <h4>Impact</h4>
-            <p>+$50k/month incremental revenue, +7% new-user conversion, −$15k/month overstock.</p>
-            <h4>Business Case</h4>
-            <p>Enhanced product discovery to drive sales and reduce inventory costs in fashion e-commerce, improving customer satisfaction and retention.</p>
-            <h4>PRD Highlights</h4>
-            <ul>
-              <li>Core Features: Hybrid recs (content+collaborative), A/B testing framework.</li>
-              <li>Success Metrics: Conversion uplift >5%, revenue increment >$50k/mo.</li>
-              <li>Tech Stack: ML models, data pipelines, experimentation tools.</li>
-              <li>Stakeholders: Marketing, Sales, Data teams.</li>
-            </ul>
-          </div>
-        </details>
-      </div>
-    </section>
-    <!-- Other Projects -->
-    <section class="section container" id="projects">
-      <h2>Other Projects</h2>
-      <div class="cards">
-        <article class="card project">
-          <h3>GenAI Voice Agent</h3>
-          <p>Architected low-latency voice agent for real-time clinical support interactions.</p>
-          <p class="tags"><span>GenAI</span> <span>Voice</span> <span>Healthcare</span></p>
-          <p><strong>Impact:</strong> Enabled seamless support with <4s latency.</p>
-        </article>
-        <article class="card project">
-          <h3>ML + LLM Diet Engine</h3>
-          <p>Engineered hybrid engine for personalized diet recommendations with 85% accuracy.</p>
-          <p class="tags"><span>ML</span> <span>LLM</span> <span>Wellness</span></p>
-          <p><strong>Impact:</strong> Improved user health outcomes in wellness platform.</p>
-        </article>
-        <article class="card project">
-          <h3>Symptom Analyzer & Risk Assessment</h3>
-          <p>Implemented AI tool for health risk evaluation, reaching 5k+ users in 4 months.</p>
-          <p class="tags"><span>AI</span> <span>Health Tech</span></p>
-          <p><strong>Impact:</strong> Enhanced early detection and user engagement.</p>
-        </article>
-        <article class="card project">
-          <h3>Internal AI Playground</h3>
-          <p>Developed platform for rapid AI prototyping, accelerating experimentation by 3×.</p>
-          <p class="tags"><span>AI Tools</span> <span>Prototyping</span></p>
-          <p><strong>Impact:</strong> Faster iteration for product and design teams.</p>
-        </article>
-      </div>
-    </section>
-    <!-- Skills -->
-    <section class="section container" id="skills">
-      <h2>Skills</h2>
-      <ul class="chips">
-        <li>Product Strategy</li><li>Roadmapping</li><li>AI/ML</li><li>LLM & RAG</li><li>GenAI Voice</li><li>Experimentation</li>
-        <li>Metrics & Analytics</li><li>UX Research</li><li>SQL</li><li>Python</li><li>Data Platforms</li>
-        <li>CRM</li><li>Health Tech</li><li>E-commerce</li><li>Project Management</li>
-      </ul>
-      <h3 class="sub">Education</h3>
-      <ul class="edu">
-        <li><strong>Indian Institute of Management Ahmedabad (IIMA)</strong> — MBA (2018–2020)</li>
-        <li><strong>Indian Institute of Technology Ropar (IIT Ropar)</strong> — B.Tech, Mechanical Engineering (2011–2015)</li>
-      </ul>
-      <h3 class="sub">Certifications</h3>
-      <p>IBM AI Product Manager, IBM AI Developer, Google Digital Marketing, Six Sigma Green Belt, LLM Courses.</p>
-    </section>
-    <!-- Contact -->
-    <section class="section container" id="contact">
-      <h2>Contact</h2>
-      <div class="contact">
-        <a class="btn primary" href="mailto:p18rakeshk@iima.ac.in">Email Me</a>
-        <a class="btn" target="_blank" rel="noopener" href="https://www.linkedin.com/in/rakesh--kumar-2a308b50">LinkedIn</a>
-        <a class="btn ghost" href="#top">Back to top ↑</a>
-      </div>
-    </section>
-  </main>
-  <footer class="site-footer">
-    <div class="container">
-      <small>© <span id="year"></span> Rakesh Kumar — Product Manager. Built as a lightweight static site for Hugging Face Spaces.</small>
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