Gaurav M.

AI Chatbot & Conversational AI Developer | RAG, AI Agents, Voice AI

𝐈 𝐚𝐦 𝐚 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭 𝐚𝐧𝐝 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐰𝐢𝐭𝐡 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬, 𝟐𝟖 𝐔𝐩𝐰𝐨𝐫𝐤 𝐣𝐨𝐛𝐬, 𝐚𝐧𝐝 𝟒,𝟑𝟎𝟎+ 𝐡𝐨𝐮𝐫𝐬. I build custom AI chatbots, AI assistants, RAG applications, voice bots, and tool-using AI agents for customer support, internal knowledge, education, SaaS products, lead qualification, appointment scheduling, and business operations. I help businesses turn their documents, websites, databases, APIs, and workflows into secure and useful conversational experiences. Whether you need an MVP, an existing AI bot improved, or a production-grade chatbot integrated into your platform, I can manage the complete development lifecycle. ✅ 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐁𝐮𝐢𝐥𝐝 : ⚡️ Custom AI chatbots for websites, mobile applications, and SaaS platforms ⚡️ RAG-powered knowledge-base chatbots with grounded and source-cited answers ⚡️ AI customer support bots with ticket creation, escalation, and human handoff ⚡️ Internal AI assistants for policies, SOPs, product information, and company knowledge ⚡️ AI agents that call APIs, query databases, update CRMs, and automate workflows ⚡️ Voice AI receptionists for incoming calls, qualification, booking, rescheduling, and routing ⚡️ Educational AI tutors and assistants with personalized, context-aware conversations ⚡️ Multilingual and multichannel chatbots for web, WhatsApp, Slack, Teams, SMS, and voice ⚡️ ChatGPT, Claude, Gemini, and open-source LLM integrations ⚡️ Chatbot audits, hallucination reduction, prompt optimization, evaluation, and performance improvement ✅ 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐒𝐭𝐚𝐜𝐤 𝐈 𝐎𝐟𝐭𝐞𝐧 𝐔𝐬𝐞 : ⚡️ 𝐋𝐋𝐌𝐬: OpenAI GPT, Anthropic Claude, Google Gemini, and open-source Llama models ⚡️ 𝐀𝐠𝐞𝐧𝐭𝐬 𝐚𝐧𝐝 𝐨𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: LangChain, LangGraph, LlamaIndex, OpenAI Agents SDK, tool calling, function calling, agentic workflows, and Model Context Protocol (MCP) ⚡️ 𝐑𝐀𝐆 𝐚𝐧𝐝 𝐬𝐞𝐚𝐫𝐜𝐡: Semantic search, hybrid search, metadata filtering, reranking, query rewriting, GraphRAG, contextual retrieval, and citation generation ⚡️ 𝐕𝐞𝐜𝐭𝐨𝐫 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: Pinecone, Qdrant, Weaviate, PostgreSQL/pgvector, Chroma, and FAISS ⚡️ 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Python, FastAPI, Node.js, TypeScript, REST APIs, WebSockets, webhooks, PostgreSQL, and Redis ⚡️ 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: CRM systems, help desks, calendars, payment systems, e-commerce platforms, Google Drive, Notion, Slack, Microsoft Teams, Twilio, WhatsApp, and custom APIs ⚡️ 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Docker, AWS, Azure, Google Cloud, Vercel, CI/CD, monitoring, tracing, and scalable cloud architecture ⚡️ 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐬𝐚𝐟𝐞𝐭𝐲: Guardrails, permission-aware retrieval, prompt-injection protection, PII handling, human approval flows, automated evaluations, and LLM observability ✅ 𝐌𝐲 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡 : ▪️ Clarify ❯❯ use case, users, data, integrations, success metrics ▪️ Design ❯❯ conversation flow, RAG pipeline, agent logic, memory, fallbacks ▪️ Build ❯❯ integrate into your product & systems ▪️ Test ❯❯ accuracy, retrieval, latency, security, edge cases ▪️ Deploy ❯❯ monitor & refine using real usage data Send me your chatbot use case, target users, data sources, required integrations, preferred communication channels, and whether you need an MVP or production deployment. Let’s build an AI chatbot that is accurate, useful, measurable, and ready for real-world users.