Sangamesh
Belawadi

AIML Collaboration Architecture Project

• Architected and deployed highly available, fault-tolerant AWS infrastructure for Atlassian applications (Jira, Confluence) using CloudFormation, supporting production-grade workloads.
• Engineered IaC pipelines using AWS CLI and Shell Scripting for dynamic CloudFormation stack provisioning, reducing manual effort by 80%.
• Designed AMI-based blue/green-like instance replacement strategy with automated EBS detachment and reattachment workflows, ensuring zero data loss.
• Enabled in-place application version upgrades using cfn-init and cfn-hup, eliminating unnecessary instance recreation and reducing downtime.
• Implemented observability pipeline using CloudWatch, JMX metrics (Heap, GC, Threads), Lambda, and SNS alerts for proactive incident response.
• Deployed Splunk Universal Forwarder for centralized log aggregation, enabling faster root cause analysis.
• Optimized deployment workflows, reducing provisioning time by 40% through automation and scripting enhancements.

Geospatial Data Analysis Platform Project

• Designed and maintained CI/CD pipelines using Jenkins, enabling automated build, test, and deployment workflows across environments.
• Containerized applications using Docker, ensuring full environment parity across development, staging, and production.
• Authored and maintained Terraform IaC modules for provisioning infrastructure across 3 environments (dev, test, production), enabling repeatable version-controlled deployments.
• Deployed and managed containerized workloads on Kubernetes with scaling, rolling updates, and high-availability strategies.
• Actively participated in incident management and production troubleshooting, reducing downtime through root cause analysis and rapid resolution.
• Coordinated and executed release management processes, ensuring smooth zero-downtime deployments across all environments.