Developed a sophisticated distributed audio fingerprinting system that processes TV and radio advertisements in real-time. The system uses Apache Solr for high-performance search and indexing of audio fingerprints, enabling rapid identification and matching of broadcast content.

Managed complex IoT infrastructure with multiple distributed hardware components for audio capture and processing. Built scalable architecture to handle continuous audio streams from multiple sources simultaneously while maintaining low-latency recognition capabilities.

Created comprehensive reporting system generating detailed client campaign analytics and industry insights. The platform provides real-time monitoring of advertisement airtime, reach analysis, and competitive intelligence for media buyers and advertisers.