Make the work inspectable.
Link the design to code, document assumptions, and state what has been tested.
Cloud & platform engineering · Germany
Hi, I'm Gowrisha.
Gowrisha C.
Vishwa KumarEngineering the
platform beneath.
I work on Azure architecture, infrastructure as code, and cloud platforms. This is where I document my projects, design decisions, and experiments with AI.
My engineering focus
Azure / Terraform / Kubernetes / DevOps / Security / FinOps / AI
01 / About me
Cloud engineering,
with the decisions explained.
I'm a cloud platform engineer based in Germany, working with Azure foundations, Terraform, identity, networking, and delivery automation.
cloudsci.ai is my technical brand and the home for my public engineering work. I use it to connect source code with architecture decisions, operational constraints, and the lessons I can demonstrate.
Read my experience and background ↗Design for the operator.
Consider identity, recovery, observability, and cost alongside deployment.
Keep the scope honest.
A blueprint, a working lab, and a production deployment need different evidence.
02 / Selected projects
Work you can inspect.
Reference POC · code available
Azure AI Agent
A RAG application with Terraform-managed Azure services, managed identity, and Azure DevOps delivery. Includes security, cost, and deployment documentation.
Evidence: application code, infrastructure modules, tests, and ADRs. Live deployment not verified here.
Early implementation · architecture study
GreenOps AI
An Azure platform and FinOps project. The public repository starts with remote-state bootstrap, a networking module, and a Terraform validation and plan pipeline.
Evidence: early infrastructure code. Enterprise blueprint work is design evidence; deployment and savings are unverified.
03 / Architecture & engineering notes
The reasoning behind the work.
From AI demo to Azure deployment
A practical guide to building a secure, keyless, and observable Azure AI agent POC with Microsoft Foundry, Azure AI Search, Container Apps, Terraform, and Azure DevOps.
Why CloudSci AI exists
CloudSci AI is a weekly field notebook for practical AI engineering, cloud platforms, Kubernetes, and infrastructure as code.
04 / Skills & tech stack
The tools, and where I use them.
My engineering focus across architecture, delivery, and operations. Project links above show the public implementation evidence.
Azure architecture
Landing zones · Entra ID · Azure Policy · Hub-spoke networking · Private endpoints
Infrastructure & delivery
Terraform · GitHub Actions · Azure DevOps · CI/CD · Reusable modules
Platform engineering
AKS · Kubernetes · Workload identity · Linux · Observability · Recovery
Security & governance
Least privilege · RBAC · Defender for Cloud · Policy as code · Identity federation
FinOps
Cost visibility · Tagging governance · Budgets · Resource lifecycle · Capacity decisions
AI integration
Azure OpenAI · Azure AI Search · RAG · Managed identity · Evaluation boundaries
05 / Certifications
Credentials you can check.
Selected certifications from my résumé, linked to my public badge records. Dates below reflect Credly records checked on 18 October 2026.
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Microsoft
Azure Solutions Architect Expert
Credly record expired 20 Nov 2024
Verify badge : Azure Solutions Architect Expert -
Microsoft
Azure Administrator Associate
Credly record expired 18 Nov 2024
Verify badge : Azure Administrator Associate -
Microsoft
Azure Virtual Desktop Specialty
Credly record expired 13 Jun 2024
Verify badge : Azure Virtual Desktop Specialty
Microsoft renewal details may differ from older Credly records. My Microsoft Learn profile lists learning achievements; current certification renewal records were not available in its public view.
Additional résumé credentials
Personal certification verification links are still pending for these entries.
- DevOps Engineer ExpertMicrosoft · AZ-400View AZ-400 exam record ↗Exam badge available; expert credential verification pending.
- Red Hat Certified EngineerRed Hat · EX294Verification pending
- OpenStack SpecialistRed Hat · EX210Verification pending
- Azure AI FundamentalsMicrosoft · AI-900Verification pending
06 / Contact
Let's talk
engineering.
Cloud architecture, platform engineering, a project question, or an open-source collaboration. Get in touch with me directly.
gowrishcvk@gmail.com ↗