Introduction
I built the backend for VR‑based inflight marketplace with a real‑time communication mesh and analytics‑driven content delivery.
The Challenge & Solution
As the lead Engineer, I defined system boundaries and ensured the solution adhered to best practices in distributed systems design. Real-time capabilities were essential, necessitating the use of WebSockets and optimized data pipelines to deliver instant feedback to users. Data-driven decision making was enabled by a comprehensive analytics pipeline, aggregating insights to drive product evolution. Navigating the spatial complexity of Virtual Reality required optimizing 3D rendering pipelines and interaction models.
Technologies & Architecture
We utilized TypeScript, WebSocket, Python, AWS, WebRTC to construct the solution. TypeScript brought type safety to the codebase, significantly reducing runtime errors and improving developer productivity. WebSocket played a crucial role in our technology stack. Python’s versatility made it ideal for scripting, data processing, and rapid prototyping of AI modules. AWS provided a comprehensive suite of managed services that accelerated our time-to-market.
Key Highlights
- Realtime multi‑server coordination
- Frictionless VR‑commerce
- Engagement optimization via analytics
Impact
This project not only met its initial requirements but also laid the groundwork for future scalability. Virtual-Reality IFE Platform with real-time communication mesh.