Cloud & DevOps Consultant

Problem

Traditional CI/CD struggles with configuration drift, manual Kubernetes updates, and lack of real-time cluster visibility.

Solution

Built a decoupled GitOps architecture using GitHub Actions for CI and ArgoCD for CD. Kubernetes state is continuously synced from Git, secured, and monitored by a Prometheus/Grafana stack.

What I Built

• Architected GitOps flow separating app code and infrastructure manifests
• Automated Docker builds and registry publishing via GitHub Actions
• Configured ArgoCD for continuous, automated Kubernetes state synchronization
• Deployed Prometheus & Grafana via Helm for real-time observability and alerts

Problem

Solution

What I Built

• Designed CI/CD pipelines for Auth (.NET) and React frontend (GitLab CI)
• Automated build, test, and deployment to Azure Web App
• Implemented environment separation (dev/test/prod) and secure secrets handling
• Standardized a repeatable release flow to reduce manual errors

Problem

Solution

What I Built

• Configured dynamic EC2 inventory using aws_ec2
• Automated Nginx, Docker, MySQL, and Redis installation & configuration
• Secured secrets using Ansible Vault (encrypted workflow)
• Hardened baseline server configuration with idempotent runs

Problem

Solution

What I Built

• Designed hub-spoke network segmentation for controlled east/west traffic
• Provisioned infrastructure using Terraform (repeatable, versioned IaC)
• Secured hybrid connectivity using VPN IPSec (on‑prem ↔ cloud)
• Automated infrastructure delivery with CI/CD for IaC

Problem

Solution

What I Built

• Deployed a Node.js + MongoDB stack with Kubernetes manifests
• Configured ingress, services, and namespaces for clean routing & isolation
• Implemented persistence (PVC) and readiness/liveness probes
• Scaled workloads with HA mindset (replicas + stable rollout patterns)

Problem

Solution

What I Built

• Designed end‑to‑end RAG flow (ingestion → embeddings → vector search)
• Integrated Azure OpenAI and Azure AI Search for grounded retrieval
• Secured backend orchestration and API access patterns
• Delivered a production-ready UI backed by the RAG service

Problem

Solution

What I Built

• Assessed the workload and designed a target Azure landing approach (networking + access)
• Migrated services with minimal downtime and validated end-to-end connectivity
• Hardened the baseline with least-privilege access and environment separation
• Enabled monitoring & logging to track health and operational signals