I love building products that delight users, and the sometimes inspiring, sometimes messy process of getting there.
Big tech taught me how systems work at scale. Early-stage startups taught me how to create something from nothing with very little. Adding users one by one, rejoicing at the first 20, 50, 100. I now envy the resources bigger startups and companies have!
Right now I'm deep in the AI rabbit hole. Excited about what it's unlocking, both in how we build software and what becomes possible. Currently learning and vibe coding tools, apps, and what I'm calling an attempt at a personal OS!
Equally comfortable digging into technical details and operating at product and business strategy level. And beautiful design in products makes me flutter. I'm a true generalist at heart (and I think this is a great time to be one).
A women's midlife health/menopause companion, first of its kind in India, offering end-to-end support: 30+ symptom tracking with severity logging, a clinical-grade Miyara Score that tracks over time, health insights with pattern discovery across symptoms, an AI companion, a content library, and expert consultation booking. Now live on the App Store and Google Play. I led this from concept to launch as CPO. Defined the product vision, requirements, UX flows, and built the initial AI design prototype myself. Led the engineering team through development.
Home
Symptom Tracking
Health Insights
AI Companion
An AI health companion I built for women 35+ navigating midlife health issues focused on perimenopause and menopause. Powered by a curated knowledge base built from the latest scientific evidence. Provided empathetic, evidence-based guidance on symptoms, health screenings, and wellness programs. Triaged by symptom severity, routed to appropriate services, and stayed within scope guardrails to avoid medical advice it shouldn't give. Deployed on web chat and WhatsApp, now integrated into the Miyara mobile app. Served 1000+ women.
Web Chat
WhatsApp Bot
A preventative health assessment I built with coding agents to help women identify early symptoms and health risks related to perimenopause and menopause. Covers demographics, lifestyle, medical history, and 20 symptoms. A scoring engine determines symptom severity, likely menopause stage, and generates a personalized report with program recommendations. Completed by 500+ women, building one of the first structured datasets on Indian women's midlife health. For many women, especially those dismissed by doctors or told "it's just stress" or "lose weight," this was the first time they got a clear picture that their symptoms were real, connected, and manageable.
Assessment Result
Built to plan our family's Japan trip and others. Also an attempt to understand RAG and agents in action while building something useful. Many of us who travel revel in researching about a place (sometimes more than required!), gathering recommendations from blogs, Reddit threads, Facebook groups, and articles, then trying to synthesize it all into an itinerary. This app automates that. Ingest content from multiple sources, build a searchable knowledge base, and chat with your curated research conversationally. Built with Claude Code. MVP complete, itinerary planner not yet finished the way I wanted, but the RAG pipeline, places database, and tips extraction all work end-to-end.
AI-generated itinerary with transit info and Knowledge Base stats
RAG Knowledge Base
Tips extracted from sources
A personal PWA I built to track daily habits, health symptoms, and emotional well-being. Modules cover everything from daily habits (career, German, exercise..) to symptom severity tracking, sleep quality, medication logs, emotional check-ins using a mood meter (inspired by How We Feel app/Yale research), journaling. All of these summarized with an insights dashboard with trend visualization. An AI chat (Claude API) surfaces correlations across the data. I defined all the product requirements, UX flow, and design direction; implemented with Claude Code. Deployed on Replit. I have used almost daily for 3+ months.
Mood Check-In
Health Tracking
Journal
AI Chat
A swipe-based German vocabulary flashcard app I built to help me prepare for my B1 exam. Upload vocabulary via CSV, practice with swipeable flashcards (right for known, left for review), track progress across sessions, and switch between German-to-English and reverse modes. Each card shows the word with an example sentence in both languages for context. Built with Replit, deployed as a mobile-first PWA so I can practice from anywhere, anytime. I use this almost everyday too.
Progress Dashboard
Flashcard Practice
Known Words
Settings
I'm always interested in talking about AI, product building, consumer or women's health tech, or opportunities to collaborate.
Email: sandhya.mg.rao@gmail.com
LinkedIn: linkedin.com/in/sandhyamg