Ratnesh Kumar Singh
@ratnesh-181998
Data Scientist (Agentic AI,GeN AI ,RAG,LLM,NLP,CV,DL,ML ).Built & deployed AI/ML pipelines on 1PB+ data. MS in AI & ML( https://woolf.university/id/3625948911 )
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Published Tools
2 MCP Servers3 Agentsacross 1 categoryRatnesh-181998
Model Context Protocol (MCP) Bootcamp offers a deep dive into MCP architecture and its role in the Agentic AI ecosystem. Learn to build real-world, production-ready AI workflows using MCP with LangChain, LangGraph, and CrewAI through fully practical, project-based implementations.
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A comprehensive collection of modern Agentic AI and Generative AI frameworks used to build autonomous, multi-agent, and production-ready AI systems. Covers LangChain, LangGraph, CrewAI, AutoGen, MCP, RAG pipelines, LLM orchestration, observability, APIs, and cloud deployment across AWS, GCP, and Azure.
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High-performance Agentic AI Anime Recommender built with RAG Architecture. Uses Groq LLM (LPU) for sub-second reasoning, HuggingFace Embedding,ChromaDB for semantic vector search,Vector Indexing & LangChain for orchestration.Features a premium Streamlit UI, CI/CD, Dockerized environment, and Kubernetes((K8s)-ready ,Minikube, deployment on GCP/GKE.
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gemini cli commandThe Gemini CLI (gemini) is an open-source AI coding agent that allows you to manage code, fix bugs, and automate workflows directly from your terminal
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MCP-based agentic AI system enabling LLMs to fetch and reason over real-time global weather data using standardized tool invocation. Built with MCP Server/Client, Llama 3, and external APIs to deliver low-latency, hallucination-free weather intelligence through protocol-driven workflows.
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