• Built a scalable pipeline for the DTEX Analytics Server using OpenTelemetry Collectors and Data Prepper to route metrics into OpenSearch, boosting data visibility by 30% for User Behavior Analytics (UBA) and User Activity Monitoring (UAM).
• Enhanced anomaly detection in the DTEX Intercept platform by refining data normalization, feature engineering, and embedding generation, raising accuracy for Insider Risk Management (IRM) use cases.
• Developed advanced clustering algorithms for user activity data, improving clustering accuracy by 25% and strengthening Data Loss Prevention (DLP) scenarios through optimized similarity measures.
• Analyzing OpenTelemetry performance metrics and conducting tests to identify bottlenecks, optimizing real-time IRM pipelines in collaboration with the data science team.
