Dating & Matchmaking App (AI Compatibility Engine)

A startup wanted to build a dating platform focused on meaningful, long-term relationships rather than casual swiping. The app needed a compatibility engine that could match users based on personality traits, values, lifestyle preferences, and relationship goals.

The technical challenge: building a matching algorithm sophisticated enough to predict long-term compatibility while keeping the user experience simple, engaging, and trust-driven.

I designed and developed a full-featured dating and matchmaking platform for iOS and Android with a focus on deep compatibility matching and user safety.

Smart compatibility engine using multi-factor personality and values assessment

Detailed profile creation with lifestyle preferences, relationship goals, and deal-breakers

AI-powered match suggestions ranked by compatibility score

Swipe and discover feed with curated daily matches

Advanced filters (age, location, education, religion, ethnicity, interests)

Photo verification system to reduce fake profiles

Video profile introductions for authentic first impressions

In-app messaging with text, voice notes, and photo sharing

Video calling for virtual dates

Icebreaker prompts and conversation starters

Read receipts and typing indicators

Match expiration timers to encourage meaningful engagement

AI-powered content moderation for photos and messages

Report and block functionality with rapid response team

Identity verification with government ID and selfie match

Privacy controls for profile visibility and location sharing

Background check integration (optional premium feature)

Freemium model with tiered subscription plans

Boost feature for increased profile visibility

Super likes and priority matching

In-app purchase system for virtual gifts

Relationship milestone tracking (first date, exclusive, engaged, married)

Success stories showcase within the app

Community forum for dating advice and relationship tips

Couple feedback surveys to improve the matching algorithm

Frontend: React Native (cross-platform iOS & Android)

Backend: Node.js with microservices architecture

Infrastructure: AWS (EC2, ECS, S3, CloudFront, SQS, Lambda, ElastiCache)

Database: PostgreSQL for user data and match history, Redis for real-time caching, Elasticsearch for search and filtering

AI/ML: TensorFlow for compatibility prediction models, NLP for content moderation

Real-time: WebSocket for messaging and presence indicators

Payments: Stripe and App Store / Play Store in-app purchases

Analytics: Mixpanel for user behavior, custom dashboards for match success metrics

I led the full development lifecycle: system architecture, mobile UI/UX implementation, compatibility matching algorithm, real-time messaging infrastructure, AI moderation pipeline, payment and subscription systems, and App Store / Play Store deployment. I collaborated closely with the product team to continuously refine the matching algorithm based on relationship outcome data.

Built a TensorFlow-based compatibility prediction model that scores matches across personality, values, and lifestyle dimensions

Designed an AI content moderation pipeline using NLP that flags inappropriate messages and photos in real time

Implemented identity verification with government ID scanning and live selfie matching

Built a real-time messaging system with WebSocket, supporting text, voice notes, photo sharing, and video calls

Designed a match expiration system that increased conversation rates by encouraging timely engagement

Successfully launched on both App Store and Google Play