name: Vaibhav Kumar
location: India 🇮🇳
education:
university: GLA University
degree: B.Tech in CS (AI/ML)
year: 2024–2028
specializations:
- Cloud Native Engineering (Azure, Kubernetes, Terraform)
- AI/ML Engineering & MLOps
- DevOps & GitOps Automation
currently:
learning:
- Advanced Kubernetes & Service Mesh (Istio, Linkerd)
- MLOps pipelines & Model Serving at Scale
- Distributed Systems Architecture
building:
- Production-grade RAG systems (VeriRag)
- GitOps platforms with automated observability
- Infrastructure Automation Tooling
open_to:
- Internships in Cloud / DevOps / AI Engineering
- Open Source Collaboration
- Research projects in MLOps & Cloud Systems|
☁️ Cloud & Infrastructure
|
💻 Languages & Frameworks
|
|
🔧 DevOps & Observability
|
🤖 AI / ML & MLOps
|
|
SnowPro Certified |
Azure AI Certified |
Neo4j Certified |
|
Cloud-Native Verified RAG System A production-ready Retrieval-Augmented Generation system with built-in output verification. Deployed on Kubernetes with full cloud-native observability. Stack: |
GitOps Automation Platform A comprehensive GitOps platform for cloud infrastructure — automated deployments, monitoring dashboards, and infra-as-code pipelines end-to-end. Stack: |
| 🏆 Goal | 📌 Status |
|---|---|
| 🏗️ Deploy 5 production-grade projects | 🔄 In Progress |
| ☁️ Earn Azure / AWS / GCP Certification | 🎯 Planned |
| 🤖 Build end-to-end MLOps pipeline | 🔄 In Progress |
| 🌐 Contribute to CNCF / major OSS projects | 🎯 Planned |
| 📚 Master Kubernetes advanced patterns & Istio | 🔄 In Progress |
| ✍️ Publish technical blogs on Cloud & AI | 🎯 Planned |
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💡 I'm open to internships, collaborations, and open-source contributions in Cloud Native, AI Engineering, and DevOps.
