Real Estate Technology / AI Search
Intelligent Property Discovery
Natural-language discovery meets listing-grounded intelligence, making a complex search feel simple.
THE ENGINEERING STORYFrom complexity
From complexity
to capability.
The challenge
Translate natural-language intent into relevant property results while keeping listing data fresh and search responsive.
Engineering contributions
- Built Python/FastAPI services and React/Next.js property search interfaces.
- Implemented embeddings and pgvector retrieval, enhanced by Elasticsearch hybrid search.
- Developed Go services for listing updates and search indexing.
- Integrated listing, mapping, and geocoding services; optimized endpoints and caching.
Performance & reliability
Top-five search relevance increased from 73% to 81%. Average search API latency fell from 1.1 seconds to 780ms.
REPORTED ENGINEERING OUTCOME780msaverage search API latency
Results are specific to this workstream and drawn from the supplied professional history. Preview interface data is illustrative.
Tools behind the work
PythonFastAPIReactNext.jsOpenAI APILangChainpgvectorElasticsearchGoRedis
Explore the reconstructed interface
The visual demonstration shows how these capabilities can be presented. It uses local sample data and does not connect to employer systems.
Open illustrative demonstrationNEXT ENGINEERING STORY