Mobile AI & App Integration
Pulse Health: Sub-350ms Conversational AI Agent Integration for iOS & Android
Engineered and integrated a real-time conversational AI agent into Pulse Health's iOS & Android mobile application. Configured streaming WebSockets API, implemented offline fallback cache, sub-350ms token latency, zero main-thread blocking, and 99.9% uptime with complete end-to-end automated testing.
Challenges
Network latency spikes and connection drops on mobile 4G/5G cellular connections degraded AI stream reliability
Main UI thread blocking and frame stutter during high-speed token streaming on mid-range Android & iOS devices
Non-deterministic AI agent tool invocations creating unpredictable app state during function execution
Our Solution
✦Architected a high-throughput WebSockets streaming gateway with automatic reconnect and binary token chunking
✦Built a background thread event streaming parser with throttled 30fps UI state hydration to maintain smooth 60fps native performance
✦Engineered a deterministic mock server test suite and semantic assertion layer for complete automated end-to-end CI/CD testing
Results
✓Achieved sub-350ms P95 initial response latency across global mobile connections
✓42% increase in daily active user retention and 3.5x higher feature interaction depth
✓99.94% session stability score across 150,000+ active iOS and Android mobile app installations