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<!DOCTYPE html>
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<html lang="en">
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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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<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700;800&display=swap" rel="stylesheet">
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<link rel="stylesheet" href="styles.css" />
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</head>
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<body>
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<header class="site-header">
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<nav class="container nav">
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<a class="brand" href="#top" aria-label="Rakesh Kumar Home">
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<!-- Accessible SVG monogram instead of photo -->
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<svg class="logo" viewBox="0 0 64 64" role="img" aria-label="RK logo" xmlns="http://www.w3.org/2000/svg">
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<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>
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</svg>
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<span>Rakesh Kumar</span>
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</a>
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<button class="nav-toggle" id="navToggle" aria-label="Toggle navigation">β°</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">π</button></li>
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</ul>
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</nav>
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</header>
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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
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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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<!-- 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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<!-- 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 β 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. Reddyβs (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 β 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 β 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 β 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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<!-- 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, β$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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<!-- 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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<!-- 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 (2018β2020)</li>
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<li><strong>Indian Institute of Technology Ropar (IIT Ropar)</strong> β B.Tech, Mechanical Engineering (2011β2015)</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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<!-- 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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<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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<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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<!-- 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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<!-- 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 β 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. Reddyβs (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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| 92 |
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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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| 93 |
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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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| 95 |
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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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| 96 |
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<li>Engineered ML + LLM-based diet engine achieving 85% accuracy.</li>
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| 97 |
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<li>Integrated RAG agent into BI dashboards; 80% faster insight generation and self-serve analytics.</li>
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| 98 |
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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 β Jan 2023</div>
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| 104 |
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<div class="content">
|
| 105 |
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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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| 106 |
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<h3>Product Manager (Customer Success, New Initiatives, Platform) β MediBuddy</h3>
|
| 107 |
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<ul>
|
| 108 |
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<li>Built tool generating valuable customer feedback; improved adoption and messaging.</li>
|
| 109 |
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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>
|
| 110 |
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<li>Launched social media automation; boosted organic reach.</li>
|
| 111 |
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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 β Dec 2021</div>
|
| 117 |
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<div class="content">
|
| 118 |
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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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| 121 |
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<li>Improved conversion by 7% for new users via enhanced product discovery funnel.</li>
|
| 122 |
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<li>Increased customization usage by 9% with $30,000+ per month CLV uplift.</li>
|
| 123 |
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<li>Improved onsite search and sorting; 5% overall sales increase and $15,000/month reduction in overstock.</li>
|
| 124 |
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<li>Built recommendation engine yielding $50,000+/month incremental revenue and 8% retention improvement.</li>
|
| 125 |
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</ul>
|
| 126 |
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</div>
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</li>
|
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<li>
|
| 129 |
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<div class="time">Jul 2015 β Apr 2018</div>
|
| 130 |
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<div class="content">
|
| 131 |
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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>
|
| 133 |
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<ul>
|
| 134 |
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<li>Resolved 10+ post-production issues; stabilized a web application.</li>
|
| 135 |
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<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 |
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<li>Developed and trained ML models using RNN, NN, and CNN for training programs.</li>
|
| 138 |
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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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<!-- 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">
|
| 149 |
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<summary>
|
| 150 |
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<h3>Agentic AI Platform β Healthcare</h3>
|
| 151 |
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<p class="tags"><span>AI Agents</span> <span>LLM</span> <span>Automation</span></p>
|
| 152 |
+
</summary>
|
| 153 |
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<div class="case-details">
|
| 154 |
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<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 |
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<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, β$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 (2018β2020)</li>
|
| 262 |
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<li><strong>Indian Institute of Technology Ropar (IIT Ropar)</strong> β B.Tech, Mechanical Engineering (2011β2015)</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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<!-- 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 β</a>
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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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