AI-Powered Mobile Dating App
I helped build a consumer mobile dating app centered around experience-based matching: users swipe on date ideas, rank preferences, connect through match flows, and stay engaged through chat, notifications, media workflows, paid features, and safety-oriented product flows.
Problem
Dating apps need to feel fast, personal, and trustworthy from the first session. This product needed more than another profile-swipe interface: it had to support date discovery, ranked preferences, match flows, chat, notifications, media uploads, paid tickets/subscriptions, safety/reporting, and app-store-ready mobile quality.
Solution & Approach
I worked on the mobile and backend foundation using React Native/Expo, Node.js services, AWS-backed workflows, media upload handling, notification flows, and app-store-oriented product delivery. The app experience supports date discovery, preference ranking, match creation, chat, payments, notifications, and community safety while leaving room for ongoing product iteration.
Technology Stack
- React Native
- Expo
- TypeScript
- Native iOS / Swift modules
- Node.js
- AWS Lambda
- Amazon S3
- Serverless workflows
- Push notifications
- ActivityKit / live notifications
- Media upload pipelines
- Payments and subscriptions
Key Features
Experience-Based Matching
Users discover and rank curated date ideas, creating a more intentional matching journey than basic profile-only swiping.
Date Ranking Flows
Preference ranking helps users prioritize the date experiences they are most interested in and supports more purposeful match logic.
Match and Chat Experience
Core mobile flows support match creation, conversation, and follow-up engagement after users connect around a shared date idea.
Confirmed-Date Notifications
Notification workflows support date confirmation and timely mobile engagement around upcoming plans.
ActivityKit / Live Updates
iOS-specific live notification patterns help the product deliver richer real-time updates where the experience requires them.
Media Upload Pipeline
Secure upload workflows support profile media and user-generated content without exposing sensitive handling details.
Paid Tickets and Subscriptions
Monetization flows support paid date tickets, in-app purchases, and subscription-style access.
Safety and Reporting
Community trust workflows support reporting, moderation paths, and safer user interaction.
Results & Impact
- Delivered a production-ready consumer mobile dating experience across onboarding, discovery, matching, chat, notifications, and paid flows.
- Supported a differentiated product model built around shared date ideas instead of only profile-based swiping.
- Created scalable backend workflows for matching, media uploads, notifications, paid tickets, and subscriptions.
- Improved engagement potential through real-time messaging, confirmed-date flows, and mobile notification patterns.
- Supported App Store distribution for a public product with a 4.7 rating from 337 ratings at the time of review.
- Built a foundation for ongoing product iteration across mobile UX, monetization, safety, and engagement features.