During March 2025, Miguel Garzon enhanced anomaly detection accuracy across the elastic/integrations and eokoneyo/kibana repositories by developing targeted agent exclusion filters and refining datafeeds. He implemented Python and YAML-based configuration changes to exclude Elastic Agent and Beats processes from DGA, LMD, and ProblemChild detection packages, addressing security-team requirements and reducing false positives. By updating package versions and transform configurations, Miguel ensured that expected agent activity no longer interfered with detection logic. His work demonstrated a strong grasp of configuration management and data engineering, delivering focused improvements that increased operational efficiency and aligned with evolving security engineering standards.