Real Estate Management & Analytics

A property management platform that brings rental yields, valuation history and maintenance into one place, with fast multi-filter search and quick public listings.

One dashboard for a property portfolio: yields, valuations and maintenance, with search in under 70ms.

Portfolio managers compared rental yields in spreadsheets, tracked maintenance in email, and had no single view of regional price trends.

Real estate portfolio managers lacked unified tools to compare rental yields, track maintenance tickets, and query regional asset price trends.

• •One view of every asset with yield, valuation and maintenance status.
• •Fast search across price, size, neighborhood and yield.
• •Public listings that load quickly without caching the admin side.

I built the Laravel backend and query layer, the spatial indexing and search, the valuation API integrations, and the Cloudflare caching rules, and worked on the Vue.js interface. APIs were documented and tested in Postman.

Built a responsive Vue.js interface powered by optimized Laravel backend queries, spatial database indexing, and external property valuation API feeds.

1. 01

   Vue.js interface

   Portfolio dashboard, multi-filter property search, valuation history and maintenance tracking.

2. 02

   Laravel API

   Optimized queries for search and valuation history, with spatial indexes for location-based filters.

3. 03

   External valuation feeds

   Property valuation APIs feed historical valuations into MySQL on a schedule.

4. 04

   Cloudflare

   Caches public listing pages at the edge while bypassing cache for authenticated admin routes.

• •Multi-parameter search under 70ms.
• •Full portfolio visibility in one dashboard.
• •API responses around 95ms.

// High-Performance Multi-Filter Property Query with Composite Indexing
public function queryProperties(Request $request) {
    return Property::query()
        ->when($request->city, fn($q, $c) => $q->where('city', $c))
        ->when($request->price_min, fn($q, $p) => $q->where('price', '>=', $p))
        ->when($request->price_max, fn($q, $p) => $q->where('price', '<=', $p))
        ->when($request->bedrooms, fn($q, $b) => $q->where('bedrooms', '>=', $b))
        ->with(['amenities', 'primaryImage'])
        ->paginate(24);
}

1. 01

   Complex multi-parameter spatial property search (price, square footage, neighborhood, yield).

   Composite and spatial indexes that match the search filters, so combined price, size, area and yield queries stay under 70ms.

2. 02

   Database query optimization handling tens of thousands of historical property valuations.

   Query optimization and summarization of historical valuations so charts read a compact series instead of every raw record.

3. 03

   Cloudflare caching configuration for public property listings while keeping admin portals dynamic.

   Cloudflare rules that cache public listing paths and bypass cache for admin and authenticated routes.

Security

Admin routes are authenticated and never cached at the edge. Valuation API keys stay server-side.

Speed & growth

Search queries run under 70ms and API responses around 95ms, with Cloudflare absorbing public listing traffic.

Search endpoints are tested with Postman collections covering filter combinations, and caching rules are verified to bypass authenticated routes.