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| <span>Rakesh Kumar</span> | |
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| <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> | |
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| <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> | |
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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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| <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> | |
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| </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> | |
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