Sreeresh S.

I build custom AI chatbots and LLM assistants for startups and small businesses - assistants that answer from your own documents, website, or database, and plug into the tools you already use. Most chatbot projects fail in the same way: a prompt wired to the OpenAI API that sounds confident and makes things up. I build the whole system around that call - knowledge base, retrieval, conversation flow, guardrails, integrations, human handoff, testing, and deployment - so the chatbot is something you can put in front of customers. Most recent client: "Great hire!! I'll hire again." - 5.0, custom AI chatbot build, rated Solution Oriented, Clear Communicator, and Accountable for Outcomes. ------------------------------------------------------------------ WHAT I BUILD ------------------------------------------------------------------ - Website and in-app AI chatbots for SaaS products and small businesses - RAG chatbots trained on PDFs, help docs, websites, and databases - Customer support assistants with escalation to a human agent - Lead qualification and appointment-booking chatbots - WhatsApp and Slack chatbots via the official APIs - CRM-connected assistants (HubSpot, Zoho, GoHighLevel) that update records and trigger follow-ups - Internal knowledge-base assistants for teams - Multi-step AI agents that use tools and complete tasks alongside the chatbot - Fixing, upgrading, and maintaining chatbots someone else built ------------------------------------------------------------------ RAG DONE PROPERLY ------------------------------------------------------------------ A chatbot should answer from approved business information, not invent it. My RAG builds include document ingestion and chunking, embeddings, hybrid search with metadata filtering, reranking, source citations, confidence thresholds with "I don't know" fallbacks, structured outputs, conversation memory, and guardrails against off-topic or unsafe requests. The result is an assistant that's accurate, auditable, and safe to leave running. ------------------------------------------------------------------ INTEGRATIONS & AUTOMATION ------------------------------------------------------------------ I connect chatbots to HubSpot, Zoho, GoHighLevel, Google Calendar, Gmail, Slack, WhatsApp Business API, Twilio, Stripe, REST APIs, webhooks, n8n, and Zapier. A connected assistant can qualify a lead, book a meeting, create a support ticket, look up an order, send a follow-up, and hand the conversation to your team when it should. ------------------------------------------------------------------ TECH STACK ------------------------------------------------------------------ - LLMs: OpenAI (GPT-4o / GPT-5), Claude, Gemini - Frameworks: LangChain, LangGraph, LlamaIndex - Vector search: Pinecone, ChromaDB, pgvector, Weaviate - Backend: Python, FastAPI, PostgreSQL, Redis - Frontend: embeddable chat widgets and admin dashboards (React) - Automation: n8n, Zapier, webhooks - Cloud: AWS, Docker ------------------------------------------------------------------ WHY WORK WITH ME ------------------------------------------------------------------- 5.0 rating and a client who's coming back for the next build End-to-end delivery: architecture, knowledge base, backend, integrations, deployment, monitoring Chatbots built with guardrails and human handoff from day one, not bolted on after a bad conversation 5+ years in AI/LLM development on top of a full-stack background Clear scoping, regular updates, and documentation you can hand to your team If you want a chatbot that actually knows your business, send me your documents, website, or existing app and a short description of what it should do. I'll come back with a recommended architecture and a fixed scope for the first version.