Adishesh G

Eliminated deployment downtime for 6 FastAPI microservices by implementing GitOps-based CD with ArgoCD on AWS EKS — enabling automated sync, one-click rollback, and reducing release cycle from hours to under 10 minutes

• Provisioned and managed enterprise Azure infrastructure (VMs, VMSS with autoscaling, ACR, Blob Storage, Azure Firewall, NAT Gateway) via Azure CLI and Terraform using hub-spoke network topology for secure environment isolation
• Achieved zero hardcoded-credential incidents by enforcing secrets management via AWS External Secrets Operator + Secrets Manager, Kubernetes RBAC least-privilege policies, and pre-deploy IaC scanning with Checkov — reducing cloud misconfiguration findings by 70%.
• Built end-to-end CI/CD pipelines with Jenkins and GitHub Actions integrating SAST (SonarQube), container scanning (Trivy), SBOM generation, and Gitleaks secret detection — enforcing shift-left security across all builds
• Deployed kube-prometheus-stack (Prometheus + Grafana) on EKS with custom dashboards and Alertmanager-Slack integration, enabling real-time alerting on pod failures, OOMKill, and node pressure events — reducing MTTD by ~50%.
• Authored production-ready Helm charts and Terraform modules for AWS and Azure infrastructure, enabling consistent, version-controlled provisioning across dev, staging, and production environments.
• Implemented KEDA event-driven autoscaling with AWS SQS triggers on EKS, enabling queue-depth-based pod scaling for async workloads independent of CPU/memory metrics.
• Reduced mean time to investigate (MTTI) infrastructure incidents by ~60% by building an AIOps triage agent on Azure VM using LangChain, Groq LLM (llama-3.3-70b), and GitHub MCP server — automating log correlation and root-cause suggestions for on-call engineers.

• Streamlined CI/CD pipelines reducing deployment time by 50% through automation of build, test, and release workflows using Jenkins and shell scripting.

• Automated infrastructure provisioning using Terraform, saving 30% on operational costs through consistent, repeatable IaC deployments across AWS environments.

• Achieved 99.9% uptime across services by deploying proactive monitoring with Prometheus and Grafana, with custom alerting rules and runbook-driven incident handling.

• Reduced incident response time by 40% by implementing structured monitoring solutions, on-call runbooks, and alert escalation workflows.

• Integrated DevSecOps practices reducing container vulnerabilities by 60% through automated security scanning (Trivy, SonarQube) and policy enforcement in CI pipelines.

• Optimised cloud resource usage resulting in 25% cost reduction through right-sizing, reserved instances, and automated cleanup of unused resources.

• Accelerated release cadence by 3x by introducing GitOps workflows and replacing manual deployments with ArgoCD-managed continuous delivery across engineering teams.