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Multi-Agent AI Health App

Problem Statement:

Women's health apps offered generic cycle calendars, not real personalization — leaving users to track their bodies alone, with no context-aware guidance.

What I Did

  • Owned product strategy for an AI health platform across iOS, Android, and web
  • Directed a multi-agent AI system, from model selection to orchestration design
  • Led backend, mobile, and AI engineering teams through a coordinated roadmap
  • Shaped the privacy-first data model for sensitive health data
  • Built the monetization model — subscriptions, pricing, referrals

Impact

  • Shipped a live, multi-platform AI health app from early build to production

  • Multi-agent AI system personalizing guidance for users in real time

  • Migrated the analytics stack, strengthening data ownership and privacy

Key takeaway

Personalized AI isn't a model problem, it's a product problem.

Get the strategy right, and the agents just follow orders.

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