# AI Matchmaking Platform

Portfolio record by Eugene Livschitz

Canonical page: https://livytech.space/projects/ai-matching-platform/

AI-assisted mobile matching

iOS and Android dating platform combining compatibility-based discovery, AI-assisted onboarding, real-time communication, community features, and guided relationship experiences.

## My contribution

Built the end-to-end product across Expo mobile experiences, Node.js and MongoDB services, real-time communication, cloud identity and media, and integrated AI capabilities.

## The hard part

Coordinating personalized discovery, rich onboarding, messaging, social features, assistant behavior, privacy, and production delivery while keeping the proprietary compatibility logic protected.

## What shipped

- Built resumable onboarding, profile and preference management, personalized discovery, match decisions, mutual-match creation, and multilingual mobile journeys.
- Implemented real-time chat and unread state, community activity, engagement and rewards flows, protected media handling, and operational notifications.
- Integrated AI-assisted profile creation, conversation support, and personal guidance with structured validation, safety controls, recovery paths, and usage telemetry.

## Technical details

- React Native, Expo, React Navigation, and React Query support the shared iOS and Android experience, including camera, location, secure storage, and localization.
- Node.js, Express, MongoDB, and Mongoose provide authenticated service boundaries for profiles, onboarding, discovery, communication, social activity, rewards, and assistance.
- Socket.IO, AWS Cognito, S3, Docker, GitHub Actions, EC2, Nginx, and Expo EAS support real-time behavior, cloud services, deployment, and mobile delivery.

## Technology

React Native, Expo, React Query, Node.js, Express, MongoDB, Socket.IO, AWS Cognito, S3, OpenAI, Docker