Irshad Mohammed
Senior AWS Cloud Engineer | Terraform & DevOps Specialist
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AI-Powered SRE Dashboard for Cloud Operations
Designed and developed an AI-powered Site Reliability Engineering (SRE) dashboard to provide intelligent monitoring, incident visibility, and operational insights across cloud environments.
Key achievements:
• Built a centralized observability platform for infrastructure and application health
• Integrated AWS metrics, logs, and alerts into a unified operational dashboard
• Leveraged AI to surface insights, identify anomalies, and accelerate troubleshooting
• Delivered real-time visibility into system health, incidents, and service dependencies
• Enabled proactive operations through intelligent alerting and automated analysis
Technologies: AWS, Grafana, CloudWatch, Terraform, AI/ML, DevOps, SRE
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Enterprise AI Knowledge Assistant
Built an internal AI-powered knowledge assistant to enable teams to securely search and interact with enterprise documentation.
Key achievements:
• Implemented Retrieval-Augmented Generation (RAG) architecture
• Integrated enterprise knowledge sources for contextual responses
• Designed secure, cloud-native architecture on AWS
• Improved knowledge discovery and operational efficiency
Technologies: AWS Bedrock, OpenSearch, Lambda, API Gateway, Python
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AWS Infrastructure Automation with Terraform
Developed Infrastructure as Code solutions to automate AWS resource provisioning and standardize cloud deployments.
Key achievements:
• Created reusable Terraform modules for scalable deployments
• Automated CI/CD workflows for infrastructure changes
• Improved deployment consistency across environments
• Reduced manual configuration and operational overhead
• Implemented secure and repeatable cloud provisioning practices
Technologies: AWS, Terraform, GitLab CI/CD, DevOps
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Enterprise Observability Platform on AWS:
Designed and implemented an enterprise-grade observability platform using AWS, Grafana, CloudWatch, and Terraform.
Key achievements:
• Built centralized dashboards for infrastructure and application monitoring
• Implemented automated alerting and incident visibility
• Reduced alert noise through optimized alert thresholds and tuning
• Managed dashboards and alerts as code using Terraform
• Delivered end-to-end operational visibility across multiple AWS environments
Technologies: AWS, Grafana, CloudWatch, Terraform, GitLab CI/CD
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