* Architected a KPI analytics pipeline using AWS Glue, Redshift, and QuickSight, publishing platform metrics and saving $100K+ in cost through data-driven insights.

* Engineered a filesystem monitoring service, providing a dashboard and automated alerts that empowered admins to optimize storage utilization and reduce costs by $120K per year.

* Developed an AI-driven agent integrated with MCP servers to analyze HPC job data, reducing SLA incidents by 20% and boosting productivity through automated recommendations.

* Extended on-demand DCV based virtual desktop service by implementing idle-detection and automated termination workflows, notifying users of unused sessions and saving $50K+ annually in compute costs.

* Architected multi-region support for the HPC platform, empowering users to provision jobs in optimal regions and achieve significant cost savings through compute-aware allocation

* Architected a comprehensive audit trail system capturing user and system-initiated changes across the platform, providing admins with a clear, time-ordered view of state transitions to accelerate debugging and incident resolution.

* Led and owned the end-to-end release management lifecycle, coordinating cross-functional teams to build, test, and roll out images while ensuring seamless upgrades across production clusters.

* Automated vulnerability findings reporting, saving 8 hours of manual work weekly.

* Migrated client-facing environment (4000 TPS) from VMs to Docker containers with Kubernetes, improving infrastructure, deployment process and scalability.

* Created dynamic monitoring dashboards and alerts with Splunk, Prometheus, and Grafana, reducing SLA incidents by 30%.

* Designed a CI/CD pipeline on AWS using CodePipeline, CodeDeploy, S3, CodeArtifactory, CloudFormation, and Terraform for over 10 applications.

* Provided technical support by performing root cause analysis and recommending improvements, enhancing system stability, while developing Python/Bash scripts to automate tasks, fix bugs, and reduce costs.

* Facilitated migration and upgrades of company's product data from Oracle to Google Cloud while ensuring 99.99% availability of applications

* Designed and streamlined a data pipeline to extract data from multiple sources, perform transformations, manage data warehousing, and integrate with existing applications

* Implemented Kafka for real-time data streaming and Spark MLlib for market analysis and data modeling.

* Developed a strategic plan for implementing advanced data analytics and seamless integration with Google Data Studio, optimizing data pipeline efficiency.

* Architected scalable and cost-effective AWS solutions for companies resulting in 20% decrease in infrastructure cost while reducing downtime.

* Optimized database performance by implementing AWS RDS and DynamoDB, resulting in 25% improvement in query response time.