March 2026 monthly summary focusing on key accomplishments and business impact. Delivered two targeted improvements across IBM MAS repositories that streamline GitOps processes and bolster security for AI service deployments. Key changes: - ibm-mas/cli: GitOps Configuration Cleanup for AI Service — Removed references to SLS (Serverless) registration keys from the AI service instance configuration to streamline GitOps setup, reducing potential misconfigurations and clarifying deployment configuration. Commit: 4dc3034548d93f9e15ac3888ae58b872839f7396 ("[patch] Remove SLS from AI service instance level for gitops (#2093)"). - ibm-mas/gitops: Security Hardening for AI Service Deployment Templates — Removed SLS registration key and related configurations from AI service instance templates to streamline deployment and enhance security by eliminating unnecessary secrets. Commit: 98d95db2c1e6780f9e93d2cf03f263b36d8348b9 ("[patch] SLS Removal at AI Service instance level (#406)"). Overall impact: - Reduced deployment misconfigurations, simplified GitOps workflows, and decreased exposure of secret data across AI service deployments. - Strengthened security posture by removing unnecessary secrets from deployment templates. Technologies/skills demonstrated: - GitOps discipline, IaC hygiene, and cross-repo collaboration - Configuration management and security hardening practices - Traceable change history through focused commits

June 2025: Focused on reliability and accuracy of version reporting in ibm-mas/cli. Delivered a focused bug fix to ensure accurate CP4D and Watson Machine Learning version reporting in the finalizer script. Implemented logic to retrieve the WML version, updated API versions and cluster resource names used to fetch version information, and validated accurate reporting of installed component versions. This change enhances observability, reduces misreporting in dashboards, and supports faster customer issue resolution.