DevOps Engineer Β· Cloud Architect Β· AI/GenAI Explorer
- π DevOps Engineer with deep expertise in AWS, CI/CD (GitHub Actions), Docker, Kubernetes, and Terraform
- π Passionate about observability β working hands-on with Dynatrace & Dynatrace Grail
- π€ Exploring AI/GenAI β LLM tooling, MCP (Model Context Protocol), agentic systems & RAG pipelines
- π Educator & instructor β delivering DevOps & Python training and guiding learners through real-world cloud projects
- π§ Currently on a structured 6-month Google interview prep roadmap (DSA Β· System Design Β· Go Β· K8s Β· AI/GenAI)
- π± Building with Python (automation, Lambda, boto3) and levelling up in Go
- π‘ Firm believer in automate everything, observe everything
- π Based in India
Cloud & Infra
AWS Terraform Kubernetes Docker
CI/CD & Automation
GitHub Actions Ansible
Observability
Dynatrace Dynatrace Grail Elasticsearch Kibana
AI / GenAI
LangChain OpenAI Anthropic Claude Hugging Face RAG MCP Agentic AI
Languages
Python Go Bash
- π§© MCP (Model Context Protocol) β integrating LLMs with tools, APIs & infra via Cursor + MCP servers
- π Agentic AI β multi-agent orchestration, autonomous task execution & LLM-powered pipelines
- π RAG β building context-aware AI systems over private knowledge bases
- π LLM Serving β Flask/FastAPI chat servers with WebSocket streaming & multi-provider support
- βοΈ AI on AWS β Lambda-based inference & serverless AI backends
- π οΈ AI-Driven DevOps β using LLMs to supercharge CI/CD, incident response & infra automation
| Project | Description |
|---|---|
| π― Google Interview Prep | 6-month plan: DSA, System Design, Go, K8s, Terraform, AI/GenAI |
| π³ Docker Deep Dive | Container networking, image optimization, multi-stage builds |
| βοΈ AWS Serverless Patterns | SNS β SQS β Lambda β DLQ pipelines with Python & boto3 |
| π€ LLM Chat Server | Flask-based multi-provider LLM server with WebSocket & MCP |
| π§ Agentic AI Systems | Multi-agent frameworks for DevOps automation |
- π§ cloud-projects β Hands-on AWS, distributed systems & scalable app design
- β‘ github-actions-master-class β Enterprise-grade CI/CD pipelines
- π³ demo-docker-app β Container creation, image optimization & DevOps deployment
- π elk-setup β Simplified Elasticsearch, Logstash & Kibana setup
- π python-for-all-ages β Complete Python knowledge base for beginners
- π οΈ basic-installations β Essential software & tools setup guides
"Automate everything. Observe everything. Break things in staging." π


