I'm a Full-Stack Developer & AI Engineer from India specializing in the MERN Stack and building intelligent systems. I work on RAG pipelines, Agentic AI architectures, and LLM evaluation & gateways — combining full-stack development with deep AI/ML expertise.
- 🏆 Selected for Swiggy Builders Club — building MCP Orchestrator, an orchestration layer for Model Context Protocol servers on the Swiggy platform
- 🏆 AMD Slingshot 2026 Finalist — Hyderabad, for an AI solution in Consumer Experience
- 🔬 Built a RAG Agentic AI System and working on LLM evaluation & gateways
- 🤝 Open to collaborating on AI/ML & Full-Stack Projects
- ☁️ Exploring DevOps practices and cloud infrastructure
- 📬 Reach me at chokkaraketanrao@gmail.com
- 🌐 View my work at Portfolio
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MCP Orchestrator — Selected project for Swiggy Builders Club. An orchestration & routing layer for Model Context Protocol (MCP) servers — enabling agents to dynamically discover, compose, and call MCP tools across the Swiggy ecosystem (food ordering, Instamart, Dineout, Genie). |
📄 Quick descriptions
| Project | Description |
|---|---|
| MCP-SERVER | Model Context Protocol server implementation — exposes tools/resources to LLM agents via the MCP spec. Foundation for the Swiggy Builders Club MCP Orchestrator work. |
| Langchain-MCP | LangChain ↔ MCP integration — lets LangChain agents discover and call any MCP-exposed tool seamlessly. |
| LangGraph-Ai-Agent | Stateful, graph-based agentic AI workflows built with LangGraph — multi-step reasoning, branching, and human-in-the-loop. |
| LangChain-ai-agent | ReAct-style AI agent built on LangChain — tool use, retrieval, and chain-of-thought orchestration. |
| Guardrails | Output validation & safety guardrails for LLM responses — schema enforcement, content filtering, and policy checks. |
| LLM-products | Collection of LLM-powered product features — RAG, summarization, and conversational UI patterns ready to ship. |
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🥇 Swiggy Builders Club — Selected (2026) Approved to build MCP Orchestrator on Swiggy's MCP platform. building live at mcp.swiggy.com/builders.
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🥈 AMD Slingshot 2026 — Finalist (Hyderabad) Built an AI solution for AI in Consumer Experience; selected as a finalist among teams nationwide.
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🤖 RAG Agentic AI System — designed and shipped a retrieval-augmented agentic pipeline with multi-tool orchestration.
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🧠 LLM Evaluation & Gateways — building evaluation harnesses and inference gateways for safe, observable, and production-grade LLM deployments.