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PostgreSQLMS SQLLangGraphGraphQLTypeScriptno/low-code automation toolsRailwayNext.jsPython (FastAPI)DockerMongoDBReactTwilioVercelNode.js

Description

Vignesh Ramakrishnan is an AI Agent Systems builder specializing in custom middleware integrations with legacy ERPs, particularly those with hostile schemas. They add an agentic layer on top of existing implementations and have experience in legal document analysis. With a background in law and product operations, Vignesh pivoted to full-time building, learning by shipping. Key achievements include building a custom MCP server with a ReAct agent for a legacy textile ERP, an analytics platform connecting TrackAbout + Zoho Books for an industrial gas company, and a 95 GB image migration pipeline for a home decor company. They are proficient in technologies like TypeScript, Node.js, Next.js, React, Python (FastAPI), PostgreSQL, MongoDB, MS SQL, GraphQL, Twilio, Docker, Railway, Vercel, LangGraph, and no/low-code automation tools. Vignesh uses Claude Code as their primary dev environment and is seeking AI agent or product engineer roles at companies shipping AI to real users, open to async work with US/EU teams as a contractor or full-time employee.