CoStar – Analytics Platform & 3D Digital Twin Technology for Real Estate

As a Senior Software Engineer at CoStar Group, I contributed to the development of their large-scale real estate analytics platform, which powers property insights, 3D digital twin technology, and enterprise-grade data tools used by millions of professionals across the U.S.

My work focused on improving backend performance, modernizing the authentication system, and strengthening the microservices architecture to support 30M+ monthly visitors with high availability.

CoStar is one of the world’s leading providers of real estate analytics, property data, and 3D digital twin experiences. Their platform requires extremely reliable infrastructure capable of processing:

• Millions of daily logins
• Property analytics and valuations
• 3D mapping and rendering data
• Real-time property updates

My contribution centered on upgrading backend systems and building scalable APIs to support these mission-critical workflows.

I implemented a robust multi-layer authentication system integrating:

• OAuth2
• JWT (JSON Web Tokens)
• Okta
• LDAP
• OpenID Connect

This architecture improved:

• Session security
• Multi-tenant access control
• Token lifespan and refresh workflows
• Identity federation for enterprise clients

This ensured consistent and secure authentication across internal tools and customer-facing applications.

I designed, built, and deployed more than 60 REST APIs, covering:

• Property search and indexing
• Portfolio metrics and analytics
• Digital twin data streaming endpoints
• User access and permissions
• Third-party data provider integrations

Each API included:

• Typed responses
• Clear error codes
• Consistent response structures
• Production-ready rate limiting and validation

All endpoints were fully documented in Swagger/OpenAPI, enabling fast onboarding for internal teams.

To improve performance and simplify frontend consumption, I created a BFF (Backend for Frontend) layer that unified multiple microservices into a single, optimized interface.

Benefits included:

• Reduced network calls
• Lower app load time
• More predictable data structures
• Simplified React client logic
• Better caching and data normalization

This architecture supported high-traffic analytics tools accessed by brokers, property managers, and enterprise clients.

Throughout the project, I optimized critical backend components to meet CoStar’s performance standards:

• Added distributed caching to reduce database load
• Improved API response times
• Hardened middleware for error handling and logging
• Implemented monitoring with Kibana + ELK stack
• Strengthened CI/CD workflows for microservices

These improvements contributed to increased stability and reduced latency across the entire analytics pipeline.

• Node.js / Express
• React
• OAuth2, JWT, LDAP, Okta, OpenID
• RESTful API design
• Microservices architecture
• Swagger / OpenAPI
• Kibana & ELK
• Docker & CI/CD pipelines

This project strengthened my expertise in enterprise Node.js backend development, secure authentication, microservices, and scalable real estate analytics infrastructure, helping support one of the largest property data ecosystems in the world.