Real-time vehicle telemetry processing with distributed scheduling and event quantization
Machine learning pipeline processing 5M+ daily transactions with sub-100ms response times
Multi-dimensional optimization using EM algorithms and real-time demand-supply modeling
Building recommendation systems for sparse data environments with city-specific personalization
Building mission-critical real-time inventory systems serving as single source of truth for multi-city operations
Building sub-500ms city-wide vehicle search with dynamic geographic expansion and real-time availability filtering