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- <title>Rakesh Kumar β€” Product Manager Portfolio</title>
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- <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." />
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- <meta property="og:title" content="Rakesh Kumar β€” Product Manager Portfolio" />
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- <span>Rakesh Kumar</span>
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- <button class="nav-toggle" id="navToggle" aria-label="Toggle navigation">☰</button>
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- <ul class="nav-links" id="navLinks">
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- <li><a href="#about">About</a></li>
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- <li><a href="#metrics">Impact</a></li>
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- <li><a href="#experience">Experience</a></li>
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- <li><a href="#cases">Case Studies</a></li>
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- <li><a href="#skills">Skills</a></li>
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- <li><a href="#contact">Contact</a></li>
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- <!-- Hero -->
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- <section class="hero container" id="about">
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- <img class="profile-photo" src="images/profile.svg" alt="Rakesh Kumar">
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- <h1>AI Product Manager & AI Lead</h1>
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- <p class="subtitle">7+ years building agentic AI, RAG platforms, data products, and high-impact customer experiences across healthcare, e-commerce, and IT.</p>
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- <div class="cta">
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- <a class="btn primary" href="#cases">View Case Studies</a>
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- <button class="btn" id="printBtn" aria-label="Save portfolio as PDF">Download PDF</button>
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- <a class="btn ghost" href="https://www.linkedin.com/in/rakesh--kumar-2a308b50" target="_blank" rel="noopener">LinkedIn</a>
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- </div>
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- <ul class="quick-facts">
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- <li>Location: India</li>
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- <li>Email: <a href="mailto:p18rakeshk@iima.ac.in">p18rakeshk@iima.ac.in</a></li>
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- <li>Phone: <a href="tel:+919004260456">+91-9004260456</a> / <a href="tel:+916359017259">6359017259</a></li>
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- </ul>
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- </div>
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- </section>
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-
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- <!-- Impact Metrics -->
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- <section class="section container" id="metrics">
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- <h2>Product Impact</h2>
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- <div class="cards">
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- <article class="card kpi"><h3>70%+</h3><p>Manual tasks reduced using agentic AI workflows</p></article>
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- <article class="card kpi"><h3>80%</h3><p>Faster insight generation with BI dashboards</p></article>
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- <article class="card kpi"><h3>10Γ—</h3><p>Clinical research turnaround acceleration</p></article>
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- <article class="card kpi"><h3>85%</h3><p>ML + LLM diet engine accuracy</p></article>
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- <article class="card kpi"><h3>20k+</h3><p>Users onboarded in 90 days (coach-driven wellness)</p></article>
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- <article class="card kpi"><h3>$50k+/mo</h3><p>Incremental revenue via recommendations</p></article>
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- <article class="card kpi"><h3>3Γ—</h3><p>Experimentation velocity (AI playground)</p></article>
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- <article class="card kpi"><h3>1M INR</h3><p>GMV leakage prevented per month</p></article>
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- </div>
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- </section>
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-
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- <!-- Experience Timeline -->
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- <section class="section container" id="experience">
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- <h2>Professional Experience</h2>
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- <ol class="timeline">
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- <li>
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- <div class="time">Feb 2023 – Present</div>
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- <div class="content">
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- <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>
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- <h3>AI Product Manager & AI Lead β€” Dr. Reddy’s (Svaas Wellness)</h3>
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- <ul>
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- <li>Built agentic AI framework to automate workflows and fine-tune LLMs; reduced manual tasks by 70%.</li>
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- <li>Architected RAG pipeline for clinical intelligence with customized data cleaning and ingestion; 5% better retrieval score than Azure managed services.</li>
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- <li>Designed Deep Research Agent for clinical studies; cut research turnaround time by 10Γ—.</li>
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- <li>Architected GenAI voice agent for clinical support with <4s latency enabling real-time interactions.</li>
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- <li>Developed internal AI Playground for rapid product and design teams; 3Γ— faster prototyping and AI experimentation.</li>
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- <li>Engineered ML + LLM-based diet engine achieving 85% accuracy.</li>
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- <li>Integrated RAG agent into BI dashboards; 80% faster insight generation and self-serve analytics.</li>
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- <li>Implemented symptom analyzer and health risk assessment tool impacting 5k+ users in 4 months.</li>
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- </ul>
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- </div>
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- </li>
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- <li>
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- <div class="time">Dec 2021 – Jan 2023</div>
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- <div class="content">
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- <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>
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- <h3>Product Manager (Customer Success, New Initiatives, Platform) β€” MediBuddy</h3>
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- <ul>
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- <li>Built tool generating valuable customer feedback; improved adoption and messaging.</li>
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- <li>Scaled B2B CS support and automated systems; raised CSAT from 2.8 to 4 and first contact resolution by 10%.</li>
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- <li>Launched social media automation; boosted organic reach.</li>
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- <li>Accelerated refunds with all payment sources; automated claims with third parties and insurers.</li>
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- </ul>
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- </div>
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- </li>
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- <li>
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- <div class="time">Jul 2020 – Dec 2021</div>
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- <div class="content">
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- <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>
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- <h3>Data Product Manager β€” eShakti</h3>
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- <ul>
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- <li>Improved conversion by 7% for new users via enhanced product discovery funnel.</li>
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- <li>Increased customization usage by 9% with $30,000+ per month CLV uplift.</li>
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- <li>Improved onsite search and sorting; 5% overall sales increase and $15,000/month reduction in overstock.</li>
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- <li>Built recommendation engine yielding $50,000+/month incremental revenue and 8% retention improvement.</li>
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- </ul>
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- </div>
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- </li>
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- <li>
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- <div class="time">Jul 2015 – Apr 2018</div>
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- <div class="content">
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- <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>
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- <h3>Software Engineer β€” Capgemini India Pvt. Ltd.</h3>
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- <ul>
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- <li>Resolved 10+ post-production issues; stabilized a web application.</li>
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- <li>30% reduction in waiting time with 15+ new features enhancing UX.</li>
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- <li>Cut lead time of an upload service by 60% and reduced report generation time by 50%.</li>
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- <li>Developed and trained ML models using RNN, NN, and CNN for training programs.</li>
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- </ul>
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- </div>
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- </li>
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- </ol>
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- </section>
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-
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- <!-- Case Studies -->
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- <section class="section container" id="cases">
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- <h2>Selected Case Studies</h2>
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- <div class="cases">
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- <details class="case">
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- <summary>
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- <h3>Agentic AI Platform β€” Healthcare</h3>
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- <p class="tags"><span>AI Agents</span> <span>LLM</span> <span>Automation</span></p>
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- </summary>
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- <div class="case-details">
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- <h4>Problem</h4>
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- <p>Manual processes and slow iteration for AI features across teams.</p>
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- <h4>Action</h4>
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- <p>Built a reusable agentic AI framework, custom data pipelines, and evaluation harness; integrated into BI stack.</p>
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- <h4>Impact</h4>
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- <p>70% reduction in manual tasks; 3Γ— faster prototyping; 80% quicker insight generation.</p>
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- <h4>Business Case</h4>
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- <p>Addressed inefficiencies in healthcare workflows by leveraging AI to automate repetitive tasks, enabling faster decision-making and resource allocation for clinical teams.</p>
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- <h4>PRD Highlights</h4>
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- <ul>
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- <li>Core Features: Agentic workflows, LLM fine-tuning, RAG integration for BI dashboards.</li>
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- <li>Success Metrics: Task reduction >70%, insight generation time <20% of original.</li>
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- <li>Tech Stack: Python, LangChain, custom RAG pipelines.</li>
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- <li>Stakeholders: Product, Design, Clinical teams.</li>
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- </ul>
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- </div>
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- </details>
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- <details class="case">
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- <summary>
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- <h3>Deep Research Agent β€” Clinical Studies</h3>
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- <p class="tags"><span>RAG</span> <span>Search</span> <span>Healthcare</span></p>
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- </summary>
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- <div class="case-details">
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- <h4>Problem</h4>
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- <p>Clinicians needed rapid, reliable summaries from large corpora.</p>
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- <h4>Action</h4>
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- <p>Architected custom retrieval with domain-specific cleaning, chunking, and evaluation.</p>
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- <h4>Impact</h4>
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- <p>10Γ— faster research turnaround with improved retrieval scores.</p>
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- <h4>Business Case</h4>
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- <p>Accelerated clinical research processes to bring insights to market faster, reducing time-to-decision in drug development and patient care.</p>
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- <h4>PRD Highlights</h4>
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- <ul>
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- <li>Core Features: Advanced RAG with custom data ingestion, low-latency querying.</li>
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- <li>Success Metrics: Turnaround time reduction to 10%, retrieval accuracy >95%.</li>
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- <li>Tech Stack: Vector DB, custom embeddings, evaluation harness.</li>
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- <li>Stakeholders: Clinicians, Researchers.</li>
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- </ul>
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- </div>
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- </details>
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- <details class="case">
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- <summary>
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- <h3>Recommendations at Scale β€” eCommerce</h3>
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- <p class="tags"><span>Recommender Systems</span> <span>Data Platform</span> <span>Experimentation</span></p>
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- </summary>
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- <div class="case-details">
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- <h4>Problem</h4>
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- <p>Low discovery and high overstock.</p>
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- <h4>Action</h4>
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- <p>Built hybrid recommendation engine and improved onsite search & sorting.</p>
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- <h4>Impact</h4>
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- <p>+$50k/month incremental revenue, +7% new-user conversion, βˆ’$15k/month overstock.</p>
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- <h4>Business Case</h4>
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- <p>Enhanced product discovery to drive sales and reduce inventory costs in fashion e-commerce, improving customer satisfaction and retention.</p>
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- <h4>PRD Highlights</h4>
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- <ul>
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- <li>Core Features: Hybrid recs (content+collaborative), A/B testing framework.</li>
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- <li>Success Metrics: Conversion uplift >5%, revenue increment >$50k/mo.</li>
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- <li>Tech Stack: ML models, data pipelines, experimentation tools.</li>
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- <li>Stakeholders: Marketing, Sales, Data teams.</li>
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- </ul>
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- </div>
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- </details>
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- </div>
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- </section>
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-
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- <!-- Other Projects -->
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- <section class="section container" id="projects">
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- <h2>Other Projects</h2>
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- <div class="cards">
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- <article class="card project">
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- <h3>GenAI Voice Agent</h3>
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- <p>Architected low-latency voice agent for real-time clinical support interactions.</p>
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- <p class="tags"><span>GenAI</span> <span>Voice</span> <span>Healthcare</span></p>
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- <p><strong>Impact:</strong> Enabled seamless support with <4s latency.</p>
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- </article>
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- <article class="card project">
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- <h3>ML + LLM Diet Engine</h3>
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- <p>Engineered hybrid engine for personalized diet recommendations with 85% accuracy.</p>
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- <p class="tags"><span>ML</span> <span>LLM</span> <span>Wellness</span></p>
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- <p><strong>Impact:</strong> Improved user health outcomes in wellness platform.</p>
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- </article>
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- <article class="card project">
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- <h3>Symptom Analyzer & Risk Assessment</h3>
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- <p>Implemented AI tool for health risk evaluation, reaching 5k+ users in 4 months.</p>
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- <p class="tags"><span>AI</span> <span>Health Tech</span></p>
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- <p><strong>Impact:</strong> Enhanced early detection and user engagement.</p>
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- </article>
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- <article class="card project">
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- <h3>Internal AI Playground</h3>
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- <p>Developed platform for rapid AI prototyping, accelerating experimentation by 3Γ—.</p>
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- <p class="tags"><span>AI Tools</span> <span>Prototyping</span></p>
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- <p><strong>Impact:</strong> Faster iteration for product and design teams.</p>
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- </article>
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- </div>
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- </section>
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-
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- <!-- Skills -->
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- <section class="section container" id="skills">
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- <h2>Skills</h2>
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- <ul class="chips">
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- <li>Product Strategy</li><li>Roadmapping</li><li>AI/ML</li><li>LLM & RAG</li><li>GenAI Voice</li><li>Experimentation</li>
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- <li>Metrics & Analytics</li><li>UX Research</li><li>SQL</li><li>Python</li><li>Data Platforms</li>
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- <li>CRM</li><li>Health Tech</li><li>E-commerce</li><li>Project Management</li>
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- </ul>
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- <h3 class="sub">Education</h3>
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- <ul class="edu">
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- <li><strong>Indian Institute of Management Ahmedabad (IIMA)</strong> β€” MBA (2018–2020)</li>
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- <li><strong>Indian Institute of Technology Ropar (IIT Ropar)</strong> β€” B.Tech, Mechanical Engineering (2011–2015)</li>
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- </ul>
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- <h3 class="sub">Certifications</h3>
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- <p>IBM AI Product Manager, IBM AI Developer, Google Digital Marketing, Six Sigma Green Belt, LLM Courses.</p>
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- </section>
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-
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- <!-- Contact -->
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- <section class="section container" id="contact">
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- <h2>Contact</h2>
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- <div class="contact">
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- <a class="btn primary" href="mailto:p18rakeshk@iima.ac.in">Email Me</a>
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- <a class="btn" target="_blank" rel="noopener" href="https://www.linkedin.com/in/rakesh--kumar-2a308b50">LinkedIn</a>
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- <a class="btn ghost" href="#top">Back to top ↑</a>
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- </div>
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- </section>
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- </main>
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- <footer class="site-footer">
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- <div class="container">
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- <small>Β© <span id="year"></span> Rakesh Kumar β€” Product Manager. Built as a lightweight static site for Hugging Face Spaces.</small>
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+ <head>
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+ <meta charset="UTF-8" />
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+ <meta name="viewport" content="width=device-width, initial-scale=1" />
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+ <title>Rakesh Kumar β€” Product Manager Portfolio</title>
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+ <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." />
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+ <meta property="og:title" content="Rakesh Kumar β€” Product Manager Portfolio" />
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+ <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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+ <nav class="container nav">
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+ </svg>
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+ <span>Rakesh Kumar</span>
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+ <button class="nav-toggle" id="navToggle" aria-label="Toggle navigation">☰</button>
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+ <ul class="nav-links" id="navLinks">
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+ <li><a href="#about">About</a></li>
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+ <li><a href="#metrics">Impact</a></li>
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+ <li><a href="#experience">Experience</a></li>
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+ <li><a href="#cases">Case Studies</a></li>
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+ <li><a href="#skills">Skills</a></li>
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+ <li><a href="#contact">Contact</a></li>
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+ <li><button id="themeToggle" class="ghost">πŸŒ™</button></li>
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+ </ul>
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+
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+ <main id="top">
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+ <!-- Hero -->
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+ <section class="hero container" id="about">
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+ <div class="hero-text">
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+ <img class="profile-photo" src="images/profile.svg" alt="Rakesh Kumar">
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+ <h1>AI Product Manager & AI Lead</h1>
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+ <p class="subtitle">7+ years building agentic AI, RAG platforms, data products, and high-impact customer experiences across healthcare, e-commerce, and IT.</p>
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+ <div class="cta">
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+ <a class="btn primary" href="#cases">View Case Studies</a>
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+ <button class="btn" id="printBtn" aria-label="Save portfolio as PDF">Download PDF</button>
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+ <a class="btn ghost" href="https://www.linkedin.com/in/rakesh-kumar-2a308b50" target="_blank" rel="noopener">LinkedIn</a>
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+ </div>
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+ <ul class="quick-facts">
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+ <li>Location: India</li>
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+ <li>Email: <a href="mailto:p18rakeshk@iima.ac.in">p18rakeshk@iima.ac.in</a></li>
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+ <li>Phone: <a href="tel:+919004260456">+91-9004260456</a> / <a href="tel:+916359017259">6359017259</a></li>
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+ </ul>
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+ </div>
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+ </section>
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+
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+ <!-- Impact Metrics -->
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+ <section class="section container" id="metrics">
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+ <h2>Product Impact</h2>
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+ <div class="cards">
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+ <article class="card kpi"><h3>70%+</h3><p>Manual tasks reduced using agentic AI workflows</p></article>
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+ <article class="card kpi"><h3>80%</h3><p>Faster insight generation with BI dashboards</p></article>
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+ <article class="card kpi"><h3>10Γ—</h3><p>Clinical research turnaround acceleration</p></article>
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+ <article class="card kpi"><h3>85%</h3><p>ML + LLM diet engine accuracy</p></article>
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+ <article class="card kpi"><h3>20k+</h3><p>Users onboarded in 90 days (coach-driven wellness)</p></article>
75
+ <article class="card kpi"><h3>$50k+/mo</h3><p>Incremental revenue via recommendations</p></article>
76
+ <article class="card kpi"><h3>3Γ—</h3><p>Experimentation velocity (AI playground)</p></article>
77
+ <article class="card kpi"><h3>1M INR</h3><p>GMV leakage prevented per month</p></article>
78
+ </div>
79
+ </section>
80
+
81
+ <!-- Experience Timeline -->
82
+ <section class="section container" id="experience">
83
+ <h2>Professional Experience</h2>
84
+ <ol class="timeline">
85
+ <li>
86
+ <div class="time">Feb 2023 – Present</div>
87
+ <div class="content">
88
+ <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>
89
+ <h3>AI Product Manager & AI Lead β€” Dr. Reddy’s (Svaas Wellness)</h3>
90
+ <ul>
91
+ <li>Built agentic AI framework to automate workflows and fine-tune LLMs; reduced manual tasks by 70%.</li>
92
+ <li>Architected RAG pipeline for clinical intelligence with customized data cleaning and ingestion; 5% better retrieval score than Azure managed services.</li>
93
+ <li>Designed Deep Research Agent for clinical studies; cut research turnaround time by 10Γ—.</li>
94
+ <li>Architected GenAI voice agent for clinical support with <4s latency enabling real-time interactions.</li>
95
+ <li>Developed internal AI Playground for rapid product and design teams; 3Γ— faster prototyping and AI experimentation.</li>
96
+ <li>Engineered ML + LLM-based diet engine achieving 85% accuracy.</li>
97
+ <li>Integrated RAG agent into BI dashboards; 80% faster insight generation and self-serve analytics.</li>
98
+ <li>Implemented symptom analyzer and health risk assessment tool impacting 5k+ users in 4 months.</li>
99
+ </ul>
100
+ </div>
101
+ </li>
102
+ <li>
103
+ <div class="time">Dec 2021 – Jan 2023</div>
104
+ <div class="content">
105
+ <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>
106
+ <h3>Product Manager (Customer Success, New Initiatives, Platform) β€” MediBuddy</h3>
107
+ <ul>
108
+ <li>Built tool generating valuable customer feedback; improved adoption and messaging.</li>
109
+ <li>Scaled B2B CS support and automated systems; raised CSAT from 2.8 to 4 and first contact resolution by 10%.</li>
110
+ <li>Launched social media automation; boosted organic reach.</li>
111
+ <li>Accelerated refunds with all payment sources; automated claims with third parties and insurers.</li>
112
+ </ul>
113
+ </div>
114
+ </li>
115
+ <li>
116
+ <div class="time">Jul 2020 – Dec 2021</div>
117
+ <div class="content">
118
+ <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>
119
+ <h3>Data Product Manager β€” eShakti</h3>
120
+ <ul>
121
+ <li>Improved conversion by 7% for new users via enhanced product discovery funnel.</li>
122
+ <li>Increased customization usage by 9% with $30,000+ per month CLV uplift.</li>
123
+ <li>Improved onsite search and sorting; 5% overall sales increase and $15,000/month reduction in overstock.</li>
124
+ <li>Built recommendation engine yielding $50,000+/month incremental revenue and 8% retention improvement.</li>
125
+ </ul>
126
+ </div>
127
+ </li>
128
+ <li>
129
+ <div class="time">Jul 2015 – Apr 2018</div>
130
+ <div class="content">
131
+ <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>
132
+ <h3>Software Engineer β€” Capgemini India Pvt. Ltd.</h3>
133
+ <ul>
134
+ <li>Resolved 10+ post-production issues; stabilized a web application.</li>
135
+ <li>30% reduction in waiting time with 15+ new features enhancing UX.</li>
136
+ <li>Cut lead time of an upload service by 60% and reduced report generation time by 50%.</li>
137
+ <li>Developed and trained ML models using RNN, NN, and CNN for training programs.</li>
138
+ </ul>
139
+ </div>
140
+ </li>
141
+ </ol>
142
+ </section>
143
+
144
+ <!-- Case Studies -->
145
+ <section class="section container" id="cases">
146
+ <h2>Selected Case Studies</h2>
147
+ <div class="cases">
148
+ <details class="case">
149
+ <summary>
150
+ <h3>Agentic AI Platform β€” Healthcare</h3>
151
+ <p class="tags"><span>AI Agents</span> <span>LLM</span> <span>Automation</span></p>
152
+ </summary>
153
+ <div class="case-details">
154
+ <h4>Problem</h4>
155
+ <p>Manual processes and slow iteration for AI features across teams.</p>
156
+ <h4>Action</h4>
157
+ <p>Built a reusable agentic AI framework, custom data pipelines, and evaluation harness; integrated into BI stack.</p>
158
+ <h4>Impact</h4>
159
+ <p>70% reduction in manual tasks; 3Γ— faster prototyping; 80% quicker insight generation.</p>
160
+ <h4>Business Case</h4>
161
+ <p>Addressed inefficiencies in healthcare workflows by leveraging AI to automate repetitive tasks, enabling faster decision-making and resource allocation for clinical teams.</p>
162
+ <h4>PRD Highlights</h4>
163
+ <ul>
164
+ <li>Core Features: Agentic workflows, LLM fine-tuning, RAG integration for BI dashboards.</li>
165
+ <li>Success Metrics: Task reduction >70%, insight generation time <20% of original.</li>
166
+ <li>Tech Stack: Python, LangChain, custom RAG pipelines.</li>
167
+ <li>Stakeholders: Product, Design, Clinical teams.</li>
168
+ </ul>
169
+ </div>
170
+ </details>
171
+ <details class="case">
172
+ <summary>
173
+ <h3>Deep Research Agent β€” Clinical Studies</h3>
174
+ <p class="tags"><span>RAG</span> <span>Search</span> <span>Healthcare</span></p>
175
+ </summary>
176
+ <div class="case-details">
177
+ <h4>Problem</h4>
178
+ <p>Clinicians needed rapid, reliable summaries from large corpora.</p>
179
+ <h4>Action</h4>
180
+ <p>Architected custom retrieval with domain-specific cleaning, chunking, and evaluation.</p>
181
+ <h4>Impact</h4>
182
+ <p>10Γ— faster research turnaround with improved retrieval scores.</p>
183
+ <h4>Business Case</h4>
184
+ <p>Accelerated clinical research processes to bring insights to market faster, reducing time-to-decision in drug development and patient care.</p>
185
+ <h4>PRD Highlights</h4>
186
+ <ul>
187
+ <li>Core Features: Advanced RAG with custom data ingestion, low-latency querying.</li>
188
+ <li>Success Metrics: Turnaround time reduction to 10%, retrieval accuracy >95%.</li>
189
+ <li>Tech Stack: Vector DB, custom embeddings, evaluation harness.</li>
190
+ <li>Stakeholders: Clinicians, Researchers.</li>
191
+ </ul>
192
+ </div>
193
+ </details>
194
+ <details class="case">
195
+ <summary>
196
+ <h3>Recommendations at Scale β€” eCommerce</h3>
197
+ <p class="tags"><span>Recommender Systems</span> <span>Data Platform</span> <span>Experimentation</span></p>
198
+ </summary>
199
+ <div class="case-details">
200
+ <h4>Problem</h4>
201
+ <p>Low discovery and high overstock.</p>
202
+ <h4>Action</h4>
203
+ <p>Built hybrid recommendation engine and improved onsite search & sorting.</p>
204
+ <h4>Impact</h4>
205
+ <p>+$50k/month incremental revenue, +7% new-user conversion, βˆ’$15k/month overstock.</p>
206
+ <h4>Business Case</h4>
207
+ <p>Enhanced product discovery to drive sales and reduce inventory costs in fashion e-commerce, improving customer satisfaction and retention.</p>
208
+ <h4>PRD Highlights</h4>
209
+ <ul>
210
+ <li>Core Features: Hybrid recs (content+collaborative), A/B testing framework.</li>
211
+ <li>Success Metrics: Conversion uplift >5%, revenue increment >$50k/mo.</li>
212
+ <li>Tech Stack: ML models, data pipelines, experimentation tools.</li>
213
+ <li>Stakeholders: Marketing, Sales, Data teams.</li>
214
+ </ul>
215
+ </div>
216
+ </details>
217
+ </div>
218
+ </section>
219
+
220
+ <!-- Other Projects -->
221
+ <section class="section container" id="projects">
222
+ <h2>Other Projects</h2>
223
+ <div class="cards">
224
+ <article class="card project">
225
+ <h3>GenAI Voice Agent</h3>
226
+ <p>Architected low-latency voice agent for real-time clinical support interactions.</p>
227
+ <p class="tags"><span>GenAI</span> <span>Voice</span> <span>Healthcare</span></p>
228
+ <p><strong>Impact:</strong> Enabled seamless support with <4s latency.</p>
229
+ </article>
230
+ <article class="card project">
231
+ <h3>ML + LLM Diet Engine</h3>
232
+ <p>Engineered hybrid engine for personalized diet recommendations with 85% accuracy.</p>
233
+ <p class="tags"><span>ML</span> <span>LLM</span> <span>Wellness</span></p>
234
+ <p><strong>Impact:</strong> Improved user health outcomes in wellness platform.</p>
235
+ </article>
236
+ <article class="card project">
237
+ <h3>Symptom Analyzer & Risk Assessment</h3>
238
+ <p>Implemented AI tool for health risk evaluation, reaching 5k+ users in 4 months.</p>
239
+ <p class="tags"><span>AI</span> <span>Health Tech</span></p>
240
+ <p><strong>Impact:</strong> Enhanced early detection and user engagement.</p>
241
+ </article>
242
+ <article class="card project">
243
+ <h3>Internal AI Playground</h3>
244
+ <p>Developed platform for rapid AI prototyping, accelerating experimentation by 3Γ—.</p>
245
+ <p class="tags"><span>AI Tools</span> <span>Prototyping</span></p>
246
+ <p><strong>Impact:</strong> Faster iteration for product and design teams.</p>
247
+ </article>
248
+ </div>
249
+ </section>
250
+
251
+ <!-- Skills -->
252
+ <section class="section container" id="skills">
253
+ <h2>Skills</h2>
254
+ <ul class="chips">
255
+ <li>Product Strategy</li><li>Roadmapping</li><li>AI/ML</li><li>LLM & RAG</li><li>GenAI Voice</li><li>Experimentation</li>
256
+ <li>Metrics & Analytics</li><li>UX Research</li><li>SQL</li><li>Python</li><li>Data Platforms</li>
257
+ <li>CRM</li><li>Health Tech</li><li>E-commerce</li><li>Project Management</li>
258
+ </ul>
259
+ <h3 class="sub">Education</h3>
260
+ <ul class="edu">
261
+ <li><strong>Indian Institute of Management Ahmedabad (IIMA)</strong> β€” MBA (2018–2020)</li>
262
+ <li><strong>Indian Institute of Technology Ropar (IIT Ropar)</strong> β€” B.Tech, Mechanical Engineering (2011–2015)</li>
263
+ </ul>
264
+ <h3 class="sub">Certifications</h3>
265
+ <p>IBM AI Product Manager, IBM AI Developer, Google Digital Marketing, Six Sigma Green Belt, LLM Courses.</p>
266
+ </section>
267
+
268
+ <!-- Contact -->
269
+ <section class="section container" id="contact">
270
+ <h2>Contact</h2>
271
+ <div class="contact">
272
+ <a class="btn primary" href="mailto:p18rakeshk@iima.ac.in">Email Me</a>
273
+ <a class="btn" target="_blank" rel="noopener" href="https://www.linkedin.com/in/rakesh--kumar-2a308b50">LinkedIn</a>
274
+ <a class="btn ghost" href="#top">Back to top ↑</a>
275
+ </div>
276
+ </section>
277
+ </main>
278
+
279
+ <footer class="site-footer">
280
+ <div class="container">
281
+ <small>Β© <span id="year"></span> Rakesh Kumar β€” Product Manager. Built as a lightweight static site for Hugging Face Spaces.</small>
282
+ </div>
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+ </footer>
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+ <script src="script.js"></script>
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