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vyxis_ai

Vyxis AI

@vyxis_ai

AI Agent Architect, RAG, MCP and Multi Agent Systems, MERN and FullStack

India
English, Hindi
About me
Hi, I'm Prateek — Founder of Vyxis AI, an agency building intelligent systems for businesses ready to scale. I architect AI ecosystems that think and execute: AI Agents, RAG systems, MCP integrations, Multi-Agent workflows, and full-stack MERN apps. From autonomous agents to RAG-powered knowledge bases — I turn cutting-edge AI into production-ready solutions. Not just code, but systems that deliver results. Message me before ordering — I reply in 2 hours with a clear roadmap. Let's build something extraordinary.... Read more

Skills

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vyxis_ai
Vyxis AI
Offline • 
Average response time: 3 hours

See my services

AI Websites & Software
I will build ai agents with rag for business automation
From$50 / projectMore details

Work experience

Self_Employed

Self Employed

Self-employed • 1 yr 2 mos

AI Systems Architect & Full-Stack Developer | vyxis.ai

Dec 2025 - Present • 7 mos

Built an AI SaaS platform for autonomous multi-agent teams handling sales, content, and support. • Architected multi-agent orchestration with LangGraph & CrewAI (3-5 collaborating agents) • Built RAG pipeline with Pinecone + LlamaIndex — 94% accuracy on knowledge queries • Developed full-stack MERN app with real-time dashboards, billing, and team management • Integrated GPT-4, Claude, Llama with intelligent model routing • Built A2A communication protocol for autonomous task delegation • Implemented MCP for seamless agent-to-tool context sharing • Deployed on AWS with Docker — 99.9% uptime Tech: Python, JavaScript, React.js, Node.js, MongoDB, Pinecone, LangChain, LangGraph, LlamaIndex, OpenAI API, AWS, Docker, REST APIs

Founder & Lead AI Infrastructure Architect | vyxis.ai

Dec 2025 - Present • 7 mos

Built AgentMesh — "AWS for AI Agents" infrastructure platform enabling developers to deploy, orchestrate, monitor, and monetize autonomous agent swarms. Key Achievements: • Architected multi-agent orchestration system using LangGraph + A2A protocol, enabling 5-10 agents to auto-discover, communicate, and delegate tasks • Built RAG-powered persistent memory with Pinecone + LlamaIndex, achieving 92% context accuracy across sessions • Developed full-stack MERN platform (React, Node.js, MongoDB) with real-time agent logs, cost analytics, and usage dashboards • Integrated MCP for auto-tool discovery and x402 protocol for agent-to-agent payments • Implemented auto-scaling deployment infrastructure reducing time-to-market from 6 weeks to 6 hours Tech: Python, JavaScript, React, Node.js, MongoDB, Pinecone, LangChain, LangGraph, LlamaIndex, OpenAI API, AWS, Docker, REST APIs