India-based Developer. Building backend systems, AI tools, and developer-focused applications.
Python β’ TypeScript β’ Goβ’ Docker β’ AI
I build and explore AI agent infrastructure, backend systems, and developer tools.
- βοΈ Backend + automation focused
- π§ Exploring AI agents and LLM tooling
- π Learning by building real-world systems
Building and experimenting with systems for AI agents that can automate workflows and scale.
| Project | What it does |
|---|---|
| pro-workflow | Claude Code workflows with memory, parallel execution, and automation |
| awesome-claude-code-toolkit | Collection of agents, plugins, and tools for Claude Code |
| kubectl-mcp-server | MCP server for Kubernetes with tools and dashboards |
| skillkit | CLI for AI agent skills across coding agents |
| agentmemory | Persistent memory engine with knowledge graph and search |
| awesome-devops-mcp-servers | Curated MCP servers for DevOps workflows |
| awesome-openclaw | Resource collection for OpenClaw ecosystem |
| rimuru | AI agent cost monitoring tool with CLI + UI |
| tailclaude | Claude Code UI over secure networking |
Exploring modern backend architectures and agent-based systems.
| Project | What it does |
|---|---|
| iii-engine | Backend engine concept with worker/function/trigger model |
| iii-sandbox | Sandbox environments for agent execution |
| agentos | AI agent operating system with tools and integrations |
| Project | What it does |
|---|---|
| awesome-ai-apps | Collection of AI apps and tools |
| CreateMVP | Rapid MVP building with AI |
| manim-video-generator | Generate math animations using AI |
| k8sgames | Learn Kubernetes through interactive simulations |
| git-ai | AI-powered Git workflows |
| ai_computer_use | AI-based system control tools |
- Exploring DevOps, AI, and system design
- Learning in public and building consistently
- Interested in open-source ecosystems
Python TypeScript Go
Docker
APIs System Design
Building practical AI tools.
Understanding systems deeply.
Staying consistent.
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