Senior Software Engineer Qualtrics
Engineered a high-performance real-time downstream classification solution using dynamic, session-scoped Elasticsearch indices. The approach reduced processing latency by approximately 80% by isolating classification queries to less than 1% of the total project dataset.
Developed and optimized scalable data enrichment pipelines for sentiment analysis, classification, categorization, and natural language processing, handling millions of documents per day while meeting availability and performance SLA requirements. Improved Analytics Service stability through Elasticsearch performance profiling and query decomposition.
Designed a blue/green Elasticsearch re-indexing strategy for consistent data migration, balanced shards, and zero-downtime index updates. Led migration of Discover Analytics and Discover Predictive services to Kubernetes and onboarded enrichment services to Spinnaker to improve scaling, deployments, and release cycles.
Served as the ML subject matter expert for the Data Enrichment team. Built and launched Smart Query and Topics Recommendations, collaborating with product teams and AI scientists on requirements, model selection, tuning, and production delivery.