• Engineered anomaly detection on simulated AWS Cost Explorer data, surfacing $9K+ in recoverable cloud spend and flagging mock cost spikes up to $4.5K per instance — validating the detection logic across 5 regions and 20+ resource types. • Built an automated remediation engine (stop / delete / rightsize) with audit logging and approval workflows, reducing manual cloud ops toil to a single Slack button press. • Designed a FastAPI backend handling async Slack interactions and AWS remediation triggers, integrating EC2, EBS, RDS, CloudFront, and Lambda via boto3 for real-time infrastructure control.