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Architected and implemented a production-grade, fully automated DevOps platform on AWS, covering the entire software delivery lifecycle from code commit to live deployment. The platform integrates eight tightly coupled layers: a developer workflow built on Git, Docker Compose, and pull requests; a GitHub Actions CI/CD pipeline with dedicated workflows for continuous integration, deployment, Terraform provisioning, security scanning, and semantic releases; and a multi-tool security gate enforcing SAST, SCA, IaC scanning, container analysis, OWASP ZAP, and CodeQL checks before any artifact progresses.
Infrastructure is provisioned as code using Terraform, deploying a multi-AZ VPC, an EKS cluster, ECR repositories, RDS MySQL, an ALB with WAF, and IAM OIDC integration on AWS. Applications are packaged with Helm Umbrella Charts and deployed to Kubernetes with Horizontal Pod Autoscaling (2–8 replicas) and RBAC-enforced NetworkPolicies. GitOps state management is handled by ArgoCD, providing continuous reconciliation, drift detection, auto-sync, and self-healing across all application sets.
Observability is delivered through a dual-stack setup: a metrics pipeline (Prometheus → Grafana → Alertmanager → Slack) and a log aggregation pipeline (Filebeat → Logstash → Elasticsearch → Kibana). Releases are fully automated using Semantic Release with Conventional Commits, producing versioned GitHub Releases and Docker image tags without manual intervention.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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I built a local Claude Code app that creates a full case study from just one website domain.
One link in.
Then it analyzes the website, understands the business, writes the case study, creates mockups, prepares visuals, and generates a video with transitions.
No manual research. No copying content. No starting from blank.
Just one domain → complete case study package.
This is where AI becomes really useful: not for random prompts, but for complete automated workflows.
If you run an agency and want a system like this for your own workflow, feel free to contact me:
Love the layout!
🚀 Available for Freelance DevOps & Cloud Projects
I'm currently looking for challenging freelance opportunities where I can help businesses build secure, scalable, and automated cloud infrastructure.
With 4+ years of experience, I specialize in:
✅ AWS & Azure Cloud Infrastructure
✅ CI/CD Pipeline Automation (Azure DevOps, GitHub Actions, Jenkins)
✅ Infrastructure as Code (Terraform, ARM, CloudFormation)
✅ Container Orchestration (Docker, Azure Container Apps, AWS ECS)
✅ DevSecOps & Security Automation
✅ Monitoring & Incident Management
✅ Cloud Networking, DNS & CDN (Cloudflare, Route53, Azure DNS)
✅ Azure-to-Azure Subscription & Tenant Migration
✅ Python & Bash Automation
I follow a structured delivery approach—from architecture design and Infrastructure as Code to CI/CD implementation, documentation, and post-deployment support—ensuring every solution is production-ready and easy to maintain.
If you're looking for someone to automate deployments, modernize your cloud infrastructure, optimize costs, or solve complex DevOps challenges, I'd love to connect.
📩 Open to Freelance, Contract, and Remote opportunities.
#OpenToWork #Freelance #DevOps #CloudEngineer #AWS #Azure #Terraform #InfrastructureAsCode #IaC #CICD #Docker #CloudInfrastructure #Automation #DevSecOps #CloudMigration #AzureDevOps #GitHubActions #Jenkins #CloudComputing #RemoteWork
The digital footprint of an engineer should be more than just a list of skills—it should be a living testament to their architectural philosophy and execution.
I am excited to share that my personal developer portfolio is officially live! 🚀
Designed to serve as a centralized hub for my engineering journey, the platform showcases my transition across full-stack web architectures, distributed systems, and modern AI/ML integration.
🌐 Explore the live platform here: https://lnkd.in/ghyyQaHR
Featured Projects in Focus:
• Vibe Check: A distributed NLP Sentiment Analysis platform that dynamically routes text data across an ensemble of models (Gemini, Groq, Mistral). Optimized using a high-throughput MongoDB Atlas layer paired with active Redis caching to eliminate costly, redundant LLM API calls. Distributed across AWS, Azure, Render, and Vercel.
• CampusEngage: A full-stack campus networking platform featuring a highly responsive React client and a decoupled Express backend API. Built with stateful security guards using stateless JWT authentication distributed via secure, HTTP-only cookies.
🛠️ The Core Technical Baseline:
Languages: Python, JavaScript, Java, C
Frontend & Backend: React, Next.js, Node.js, Express.js, FastAPI, Tailwind CSS
Database & Cloud: MongoDB, Redis, Firebase, AWS, Azure, Docker, Git
Building this has been an incredible exercise in sharpening my deployment workflows, configuring cross-origin resource strategies, and tuning frontend performance metrics.
The code is clean, the pipelines are configured, and the platform is live. I would love to hear your feedback on the layout and system breakdowns! 👇
🔗 https://lnkd.in/gmCWpvbQ
#SoftwareEngineering #WebDevelopment #SystemDesign #React #FastAPI #CloudComputing #AWS #Azure #Portfolio #FullStackDeveloper #Python #Java
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