Yogana V.

Top Rated AI Engineer building RAG chatbots, LLM agents and AI automation for startups and product teams. I turn your documents, data and workflows into production AI features using OpenAI, Claude, LangChain, LlamaIndex, vector databases and n8n. WHAT I BUILD - RAG systems and AI chatbots: assistants that answer from YOUR documents, knowledge base or database, with citations and low hallucination. Pinecone, ChromaDB, FAISS, Weaviate, pgvector. - AI agents and agentic workflows: multi-step agents that search, call APIs, generate reports and take actions. LangGraph, CrewAI, OpenAI Agents SDK, MCP (Model Context Protocol). - Voice AI agents: multilingual voice assistants for appointment booking, lead qualification and support calls. ElevenLabs, Twilio, Whisper, Deepgram. - n8n / Make / Zapier automation: connect your CRM, email, WhatsApp, Instagram, Google Workspace and AI models so manual work runs itself. - LLM integration into existing apps: GPT-4o, Claude, Gemini, Llama, Mistral wired into your web or mobile product without breaking what already works. - Full-stack AI SaaS and MVPs: FastAPI, Next.js, React, Node.js, PostgreSQL, deployed on AWS, GCP, DigitalOcean or Azure. - LLM cost optimization: caching, routing, smaller models and prompt tuning to cut your OpenAI/Claude bill. RECENT WORK (details on request) - Document Q&A assistant that cut a support team's response time by ~70% - Multilingual voice agent handling the majority of inbound appointment calls for a service business - n8n workflows that removed 20+ hours/week of manual CRM and reporting work - Legal/financial document extraction pipeline with table and line-item parsing - AI demand-generation and market-intelligence platform for a manufacturing exporter TECH STACK LLMs: OpenAI GPT-4o, Claude, Gemini, Llama, Mistral, Cohere Frameworks: LangChain, LangGraph, LlamaIndex, CrewAI, HuggingFace, PyTorch RAG / Vector DBs: Pinecone, ChromaDB, FAISS, Weaviate, pgvector, Elasticsearch Automation: n8n, Make, Zapier, Meta WhatsApp/Instagram API Backend / Frontend: Python, FastAPI, Django, Node.js, Next.js, React, Flutter Cloud / MLOps: AWS, GCP, Azure, DigitalOcean, Docker, Kubernetes, MLflow HOW I WORK - Working prototype in week 1 so you see results before committing to the full build - Clear milestones, testing and acceptance criteria agreed before I start - Production-ready code with documentation and handover, not demos - Post-delivery support for bug fixes and small changes - Small team behind me for larger builds, so timelines are reliable Message me with what you are building and I will reply within a few hours with how I would approach it, what it will take and a realistic timeline.