Dante Mazza

Leading advanced platform initiatives in security analytics, driving architectural decisions for large-scale data processing systems handling 100+ TB/day. Focus on leveraging emerging AI technologies and optimizing distributed systems performance.

• Built Agentic Operational System integrating RAG with Qdrant vector database and MCP servers for Kubernetes orchestration, service discovery, and internal tooling automation

• Leading proof-of-concept design for Splunk/Spark hybrid data warehouse and processing pipeline for security detection systems, architecting for 100 TB/day throughput with optimized query performance

• Driving platform improvements that enhance system reliability and reduce operational overhead for security analytics at enterprise scale