Product Management Portfolio
I'm Anuraag Burman, a product leader in Singapore. For ten years I've worked on the moments where money changes hands - subscriptions, fintech, loyalty, incentives - first as a founder, now at Delivery Hero / Foodpanda across APAC and Europe.
I also build, hands-on. RAG pipelines in production, agentic workflows that act on their own, open-source infrastructure that other people's AI now runs on. I started my career as an architect and never lost the habit of making things - because building the thing yourself changes how you decide what to build.
Built and led a 5-person product team, reporting to the CEO. 30% app adoption growth, 60% internal tool adoption.
Mortgage + insurance comparison. 35% lift in digital applications, 20% drop-off cut.
E-commerce for construction materials. $12M revenue, 30% quarterly growth.
Health app. Medical records, medication reminders, doctor discovery.
A series of small decisions, each pulling me deeper into the AI ecosystem and expanding what I could build on my own.
Made AI part of daily product work - Claude, ChatGPT, and custom Gemini Gems embedded into specs, analysis, and stakeholder work. Then shipped the first working product with Lovable and Replit, and formed a clear thesis on which tools are for exploration and which are for production.
Built thewaypoint.ai on a component architecture with 21st.dev. The mental model shifted from designing screens to composing systems of reusable parts - the same shift that separates one-off builds from products.
Shipped the Subscriptions Knowledge Base on GCP Vertex AI with Auth0 SSO — a live RAG system serving a real support organisation. Retrieval pipelines, serverless hosting, and multiple models orchestrated in one product.
Shipped PortfolioIQ end-to-end — Supabase, Redis, live market data, deployed on Vercel — then went a layer deeper: an open-source MCP server connecting Claude to Calendar, Gmail, Tasks, and Reminders. TypeScript, Swift, OAuth2, security-first, MIT-licensed.
First agentic pipeline in production: Gemini Flash classifies incoming support tickets and routing decisions execute in under 3 seconds, with human review reserved for low-confidence cases. AI moved from answering questions to doing the work.
Each project started with a question that mattered to me as a product leader. Tap any card to explore.
AI dictation that cleans up your speech as you talk, fully on your own Mac. The Wispr Flow experience without the subscription or cloud.
Dictation makes you choose: built in tools type your ums and uhs verbatim, while Wispr Flow cleans it up but costs fifteen dollars a month and uploads your voice. I wanted both, for free.
An agentic pipeline that eliminates manual triage — AI classifies, routes, and acts in under 3 seconds
Manual ticket triage consuming hours of ops time weekly, with error rates that spike during peak periods and no path to scale without adding headcount
A prevention-first AI health coach that turns wearable data into one plain-language decision a day, right in your chat
People drown in wearable metrics but starve for interpretation. Most trackers are abandoned within six months — and the prevention value of continuous data goes unrealised.
Grounded search layer over Confluence, Drive, Slack, the codebase and internal documentation
Answers lived across four tools, so people asked each other and answered from memory. Then people leave, and the context leaves with them
Building the infrastructure AI actually runs on
AI assistants are context-blind — no calendar, tasks, or email without manual copy-paste
AI stock intelligence, built end-to-end in a weekend
Retail investors have institutional-grade markets but none of the analytical tools to match
New builds added as they ship.
Four industries, three countries, two companies co-founded, and one consistent pattern: read the market, identify the highest-leverage problem, and move decisively.
Eur 150M+ GMV in subscription strategy. 36% churn reduction. A 30-point conversion swing. EUR 60M in cost savings. Wallet adoption from 3% to 27% order share. 99.8% payment reliability.
Two companies co-founded before Delivery Hero. In a startup, you build the thing yourself. In a large org, you align engineering, design, data, ops, and regional stakeholders around a shared outcome. Both require clarity.
Six projects built, five in production. Enterprise RAG. Full-stack SaaS. Open-source MCP server. The progression from using AI to building the systems AI runs on creates a different kind of product intuition.
PortfolioIQ: concept to deployed. Knowledge Base: Turkey launch to platform-wide. MCP Toolkit: frustration to daily open-source tool. Clear specs, right tools, knowing what to decide now vs defer.
Always happy to talk product strategy, AI-native development, or building at the intersection of product and engineering.