Nippi D.

Most businesses don’t have an AI problem. They have an operational problem. Teams spend hours on repetitive tasks, searching through documents, moving data between systems, and handling workflows that could be automated. I build production-ready AI systems that solve these problems, reduce manual work, improve productivity, and help businesses scale without constantly increasing headcount. I am an AI Engineer with 6+ years of experience building software products for startups, scale-ups, and enterprise teams. My focus is taking AI beyond prototypes and turning it into reliable systems that work in real business environments. I specialize in: ============= • AI Agents & Multi-Agent Systems using LangGraph, LangChain, CrewAI, AutoGen, OpenAI Agents SDK, PydanticAI and Mastra • RAG & Enterprise Knowledge Systems using vector databases, hybrid search, reranking, embeddings and knowledge graphs • AI Copilots and conversational assistants for internal teams and customers • Voice AI using LiveKit, Vapi, Retell AI, Bland AI, ElevenLabs and Whisper • AI Automation connecting CRMs, ERPs, APIs, n8n, Make, Zapier and custom backend services • Document AI for OCR, extraction, classification and validation • Browser and Computer-Use Agents for web automation • AI SaaS development from architecture and backend to deployment and monitoring My technology stack includes OpenAI, Claude, Gemini, Llama, DeepSeek, Python, FastAPI, Node.js, TypeScript, PostgreSQL, Redis, Pinecone, Qdrant, Weaviate, pgvector, AWS, Docker and Kubernetes. I also focus on evaluation and observability using LangSmith, LangFuse and Arize Phoenix so AI systems are measurable, secure and maintainable. Whether you need AI agents, RAG, workflow automation, Voice AI, an AI-native SaaS product, or AI integration into an existing platform, I can help take it from idea to production. Let’s build an AI system that delivers real business value, not just an impressive demo.