Ezeokeke E.

I build production-ready AI agents and workflow automations that take real business work off your team's plate: lead qualification and CRM follow-up, document processing, research pipelines, and voice reception. My recent builds cut manual execution time by 54% to 82% and returned 20+ hours of weekly capacity to operations teams. Most AI projects stall because developers ship chat demos that break on messy real-world data. I work the opposite way, as a forward deployed engineer inside your operational environment. I map the workflow first, then write the backend code and integrate the agents with the tools you already run, so you get one reliable system instead of a pile of disconnected automations you have to babysit. 🚀 WHAT I BUILD ✅ Multi-Agent Systems and Workflow Automation Custom AI agents in Python using Deep Agent, LangGraph, LangChain, CrewAI, Deep Agents and the Model Context Protocol (MCP), powered by Open and closed sourced models like Openai, Claude (Anthropic API) and Gemini. I handle state management, long-term memory, tool and function calling, and human-in-the-loop approval steps for edge cases. Agents connect to HubSpot, Zoho CRM, GoHighLevel, Monday, Slack, Notion, Gmail and Google Workspace through REST APIs and webhooks where it makes sense. ✅ RAG Pipelines and Document Processing Retrieval systems grounded in your company data using Pinecone, pgvector, Qdrant, Weaviate or Chroma, with chunking strategies, embeddings, hybrid retrieval and reranking tuned for accuracy. I turn PDFs, scanned documents, spreadsheets and email threads into schema-validated structured outputs (Pydantic, JSON) stored in Supabase or PostgreSQL, with page-level citations, confidence scoring and hallucination control built in. ✅ Voice AI Agents and Browser Automation Inbound voice receptionists and outbound sales agents on Retell AI, Vapi, Twilio and ElevenLabs, plus WhatsApp and SMS assistants that qualify leads, take orders and remember customer context. I also build LLM browser agents that take real actions inside web apps (Gmail, GoHighLevel, Google Docs, booking calendars), passing only high-priority exceptions to your human team. ✅ Production Engineering, Evals and Observability Deployment with FastAPI, Docker, Kubernetes and AWS, with CI/CD and MLOps practices. Every build ships with an evaluation framework (LangSmith, RAGAS, Opik), tracing, guardrails, and monitoring for accuracy, latency and token cost, so the system stays reliable after handover. 🚀 HOW I WORK I map the workflow before writing code, send regular progress updates, and hand over documented, modular code your team can extend. I am open to long-term engagements and to starting with a small scoped project so you can evaluate the fit. 🚀 RESULTS - Shipped 30+ production AI systems with a 100% job success score. - Built document processing pipelines that handle thousands of daily records and cut turnaround time by 10x. - Delivered multi-agent CRM follow-up systems that reduced routine coordination work by up to 75%. 🛠️ TOOLS AND STACK Python, LangGraph, LangChain, LangSmith, CrewAI, Deep Agents, MCP, OpenAI API, Anthropic Claude API, Gemini, RAG, Pinecone, pgvector, Qdrant, Supabase, PostgreSQL, FastAPI, Docker, Kubernetes, AWS, Retell AI, Vapi, Twilio, ElevenLabs, RAGAS, Opik, Git, CI/CD ⚡ INDUSTRIES SaaS, Healthcare, Finance, Real Estate, E-Commerce, Legal, Marketing Agencies, Logistics Send me a short description of the workflow you want to automate. I will review your setup and reply with a clear architecture plan and the first step I would take, before you spend anything.