Real Estate Property Finder (Map Search + Elasticsearch)

A proptech company wanted to build a modern real estate app for their target market. The goal was a fast, intuitive property discovery experience with map-based browsing, advanced filters, and seamless buyer-to-agent communication.

The app needed to handle millions of property listings, serve real-time search results, and deliver a premium mobile experience.

I designed and developed a complete real estate property finder app for iOS and Android, focused on speed, discoverability, and conversion.

Map-based property browsing with cluster markers and boundary search

Advanced search filters (price range, bedrooms, bathrooms, property type, square footage, year built, amenities)

AI-powered property recommendations based on user behavior and saved preferences

Rich property detail pages with photo galleries, floor plans, virtual tours, and neighborhood data

Saved searches with instant push notifications for new matching listings

Favorites and collections for organizing shortlisted properties

In-app messaging between buyers and real estate agents

Mortgage calculator with pre-qualification integration

Neighborhood insights (schools, crime stats, walkability scores, nearby amenities)

Agent profiles with ratings, reviews, and direct booking

Scheduled property viewing and open house calendar

Push notifications for price drops, new listings, and viewing reminders

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

Backend: Node.js with RESTful APIs optimized for high-volume search queries

Infrastructure: AWS (EC2, S3, CloudFront, Elasticsearch, Lambda)

Database: PostgreSQL for listing data, Elasticsearch for fast full-text and geo search

Maps: Google Maps SDK with custom overlays and clustering

Real-time: WebSocket connections for instant listing updates and chat

Media: Cloudinary for image optimization and delivery

Payments: Stripe integration for premium listing features and agent subscriptions

I led the entire development process: system architecture, mobile UI/UX implementation, backend API development, search infrastructure, map integration, real-time messaging, and App Store / Play Store deployment. I worked directly with the product team to optimize search relevance and conversion funnels based on user analytics.

Built an Elasticsearch-powered search engine delivering sub-200ms response times across millions of property listings

Designed a map-based browsing experience with custom cluster markers, boundary search, and smooth pan/zoom performance

Implemented a recommendation engine that surfaces relevant properties based on user search history, saved preferences, and browsing patterns

Built a real-time notification system that alerts users within seconds of a new listing matching their saved search criteria

Designed a mortgage calculator with pre-qualification integration that increased agent inquiry conversion

Successfully launched on both App Store and Google Play