Full-Stack AI Engineer with production experience building LLM-powered systems. Founding Engineer at OpenBiz Software India, where I shipped a WhatsApp-based LLM assistant for SMBs with RAG pipelines serving ~40 pilots in production.
B.Tech CSE @ VIT Vellore. Actively seeking SDE-1 roles at Indian AI / fintech / legaltech startups. Open to relocation within India.
Core stack: TypeScript · Python · Node.js · FastAPI · LangGraph · pgvector · RAG · Docker · Supabase · PostgreSQL · BullMQ · Groq/OpenAI/Anthropic/Gemini
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Multi-Agent Website Builder — LangGraph-based multi-agent pipeline that generates full websites from a single prompt. Agents handle planning, code generation, and validation in a coordinated graph.
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AI-First CRM — React + FastAPI + LangGraph + Groq. LangGraph tool-calling for intelligent lead actions, SSE streaming for real-time AI responses in the browser.
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GenAI Ads Campaign Creator — Video generation pipeline with BullMQ + Upstash Redis async queuing, Neon PostgreSQL + Drizzle ORM, Railway-deployed workers, and a typed
Result<T, AppError>error monad across the stack. -
Job Search Automation System — Groq/Llama-3 resume evaluation pipeline, macOS LaunchAgent scheduling, behavioral context vault for personalized outreach generation.
- Distributed systems patterns: Saga, CQRS, event sourcing
- LLD & machine coding for SDE-1 interviews (Grokking OOD)
- Advanced LangGraph: multi-agent coordination, checkpointing, human-in-the-loop
- DSA: systematic prep via TUF+
- TypeScript
- Python
- JavaScript
- Java
- C++
- FastAPI
- LangGraph
- React
- Node.js
- Express.js
- PostgreSQL
- Supabase
- Redis
- MongoDB
- Git
- Docker
- Supabase CLI
My birthday is on October 31st! 🎉
