Designing secure cloud-native platforms, scalable DevOps systems, and enterprise AI infrastructure across Azure, AWS, and GCP.
I am a Cloud DevOps Engineer and Solutions Architect with expertise in building secure, scalable, and high-availability cloud infrastructure for enterprise and regulated industries.
My experience spans Azure, AWS, and multi-cloud environments, with strong specialization in Kubernetes platforms, Terraform automation, DevSecOps pipelines, and AI infrastructure deployments. Alongside cloud architecture, I maintain strong programming depth in Java, Spring Boot, Python, and backend engineering, allowing me to bridge software development with infrastructure design.
- ☁️ Architecting production-grade Azure & AWS cloud platforms
- 🔐 Building Zero-Trust and Confidential Compute environments on AKS
- 🤖 Deploying Agentic AI systems with LangGraph + Azure AI stack
- ⚙️ Automating CI/CD pipelines for microservices at enterprise scale
- 📈 Optimizing FinOps strategies reducing cloud spend by 20%+
| Domain | Expertise |
|---|---|
| Cloud Architecture | Azure, AWS, GCP, Multi-Cloud Landing Zones |
| DevOps Engineering | CI/CD, GitHub Actions, Azure DevOps, Jenkins |
| Kubernetes Platforms | AKS, EKS, Helm, Ingress, Istio |
| Infrastructure as Code | Terraform, Bicep, ARM, CloudFormation |
| AI Infrastructure | Azure OpenAI, LangGraph, Foundry SDKs |
| Backend Engineering | Java, Spring Boot, Python Microservices |
| Security Engineering | Zero Trust, IAM/RBAC, CSPM, WAF, DevSecOps |
| Observability | Prometheus, Grafana, ELK, CloudWatch, Azure Monitor |
Built secure Azure Confidential Computing environments using AKS + Confidential ACI for sensitive banking and government workloads, achieving SOC2-aligned compliance and 90% vulnerability reduction.
Architected enterprise AI gateway integrating Azure OpenAI, AWS Bedrock, and GCP Vertex AI with centralized routing, secure private networking, and low-latency inference APIs.
Designed multi-agent orchestration systems on Azure AKS using LangGraph, Cosmos DB, Redis vector stores, and scalable async execution pipelines.
Optimized cloud infrastructure for peak broadcast workloads with autoscaling, disaster recovery design, and FinOps strategies reducing ML compute costs by 15%.
Delivered secure GenAI bot infrastructure supporting 1M+ daily active users with 99.9% availability using AKS, APIM, Azure OpenAI, and HPA autoscaling.
- Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
- Microsoft Certified: Azure Developer Associate (AZ-204)
- Microsoft Certified: Azure Administrator Associate (AZ-104)
- Microsoft Certified: Azure AI Fundamentals (AI-900)
- Microsoft Certified: Azure Fundamentals (AZ-900)