A showcase of enterprise-scale automation, Agentic AI developer platforms, and cloud infrastructure systems architected and delivered across 14+ years in engineering.
Multi-Cloud Infrastructure Automation Architecture Diagram
Lead Infrastructure Architect Enterprise Production

Enterprise Multi-Cloud Infrastructure as Code & Configuration Automation

Engineered an end-to-end Infrastructure as Code (IaC) and configuration management ecosystem spanning AWS cloud environments and enterprise on-premises hypervisors. Replaced manual server configurations and ad-hoc scripts with modular, version-controlled Terraform modules and idempotent Ansible playbooks.

85% Deployment Speedup
99.99% Platform Availability
Zero Configuration Drift

Technical Highlights

  • Modular Terraform Stacks: Parameterized reusable modules for VPCs, multi-tier security groups, RDS databases, and auto-scaling compute pools.
  • Idempotent Ansible Automation: Standardized OS hardening, security compliance baseline patching, and automated application runtime deployments across 500+ nodes.
  • Automated Validation CI/CD: Integrated tflint, checkov security scanning, and automated plan-apply pipelines via GitHub Actions.
Terraform Ansible AWS (VPC, EC2, RDS, IAM) PowerShell GitHub Actions Python
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Agentic AI DevOps Platform Diagram
AI & DevOps Engineer Innovation & Platform

Autonomous Agentic DevOps & Incident Remediation Platform

Designed and implemented an autonomous AI agent framework using LangGraph and Large Language Models (LLMs) to automate cloud incident detection, telemetry log analysis, and self-healing remediation. The system ingests observability metrics and automatically triages root causes before dispatching verified corrective actions.

60% MTTR Reduction
24/7 Autonomous Triage
85% Root-Cause Accuracy

Technical Highlights

  • Stateful Graph Workflows: Orchestrated multi-agent decision loops with LangGraph to inspect system state, verify hypotheses, and execute remediation actions safely.
  • RAG on Infrastructure Docs: Vector retrieval augmented with internal architecture manuals and runbooks to synthesize exact mitigation steps.
  • Safety Guardrails: Human-in-the-loop approvals for critical actions, with automated rollback capabilities if health metrics do not recover within 60 seconds.
Python LangGraph Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) AWS CloudWatch Docker
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Kubernetes GitOps Architecture Diagram
Lead Platform Engineer Enterprise Operations

Enterprise Kubernetes GitOps Platform (AWS EKS & ArgoCD)

Architected a scalable, multi-tenant Kubernetes platform running on AWS Elastic Kubernetes Service (EKS). Implemented declarative GitOps continuous delivery with ArgoCD, allowing development teams to manage microservice releases entirely through declarative Git pull requests.

200+ Deploys / Week
0 sec Release Downtime
95% Rollback Automation

Technical Highlights

  • GitOps Delivery: Declarative cluster state synchronization with automated drift detection and self-healing reconciliation via ArgoCD.
  • Zero-Downtime Rollouts: Configured progressive canary deployments and pod disruption budgets with automated metric analysis.
  • Observability Stack: Integrated Prometheus, Grafana dashboards, and fluent-bit log shipping for unified cluster health monitoring.
Kubernetes (EKS) ArgoCD Helm Docker Prometheus & Grafana AWS Cloud
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