top of page

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.
bottom of page