rakesh@fedora-coreos:~$ neofetch --profile _..._ OS: Red Hat OpenShift / Fedora / macOS
.' '. Role: Cloud-Native & Platform Engineer | AI Infrastructure
/ _ _ \ Focus: Kubernetes • GitOps • Multi-Cluster Networking • SRE • AI Agents
| (o) (o) | Stack: Go • Python • TypeScript • Terraform • Helm • ArgoCD • Skupper
\ (_) / Uptime: Building resilient, declarative, automated systems
'._____.' Status: 🚀 Shipping production-grade cloud & AI architectures
| Category | Technologies & Tools |
|---|---|
| Cloud & Platforms |     |
| GitOps & Infrastructure |     |
| Networking & Mesh |    |
| Languages & Scripting |     |
| AI & Automation |    |
+---------------------------------------------------------------------------------------+
| Multi-Cluster Hybrid Mesh (Skupper / RHSI) ---> GitOps Engine (ArgoCD / KubeVirt) |
| | |
| v |
| Automated SRE & AI Operators |
+---------------------------------------------------------------------------------------+
| Repository | Tech Stack | Highlights / Architectural Focus |
|---|---|---|
| ☸️ kubevirt-gitops | ArgoCD KubeVirt OpenShift |
Declarative GitOps pipeline for managing VM orchestration and lifecycle on Kubernetes clusters. |
| 🌐 RHSI-helm | Skupper RHSI Helm K8s |
Multi-cluster hybrid cloud application interconnect topologies with Red Hat Service Interconnect. |
| 🤖 sre-bot | TypeScript LLMs DevOps |
Autonomous AI-driven incident triage assistant for diagnosing Kubernetes and OpenShift cluster issues. |
| ⚡ oc-ai | Go OpenShift CLI AI |
Terminal diagnostic tool using LLMs to analyze OpenShift pod events, crash loops, and logs. |
| 🧠 rhelai | RHEL AI Granite vLLM |
Deployment patterns, model serving, and lab recipes for Red Hat Enterprise Linux AI. |
| ☁️ rosa-tf / aro-tf | Terraform AWS Azure |
Infrastructure-as-Code modules for provisioning managed OpenShift clusters (ROSA STS & ARO). |
| 📦 frappe-operator | Go Operator-SDK CRDs |
Kubernetes Operator automating multi-tenant Frappe framework & ERP deployments. |
⚡ "Automate everything that can be automated, declare the rest in Git." — Let's connect on LinkedIn or read my articles on rmallam.github.io.