☁️ Cloud & Infrastructure
💻 Languages & Frameworks
🔧 DevOps & Tools
🤖 AI & ML
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Cloud-Native Verified AI A production-ready RAG (Retrieval-Augmented Generation) system with verification capabilities, built with cloud-native principles. Tech: Python • Kubernetes • Azure • Vector DB |
GitOps Platform A comprehensive GitOps platform for managing cloud infrastructure with automated deployments and monitoring. Tech: Terraform • ArgoCD • Kubernetes • Go |
current_focus:
education: "CS Student at GLA University"
specialization: "Cloud Native and AI Engineering"
learning:
- Advanced Kubernetes Patterns
- MLOps and Model Deployment
- Distributed Systems Architecture
building:
- Production-grade AI Systems
- Cloud-Native Applications
- Infrastructure Automation Tools
goals:
- Master DevOps and Cloud Engineering
- Contribute to Open Source Projects
- Build Scalable AI Solutions- 🏗️ Build and deploy 5 production-grade projects
- 🌐 Contribute to major open-source cloud-native projects
- 📚 Master advanced Kubernetes and service mesh technologies
- 🤖 Deploy end-to-end MLOps pipelines
- 📝 Write technical blogs on Cloud and AI Engineering
- 🏆 Earn cloud certifications (Azure, AWS, or GCP)
I'm always excited to collaborate on interesting projects or discuss cloud-native technologies and AI engineering!
