Abdul R.

I build AI systems and automations that save companies 20-40 hours of manual work per week — not prototypes, production systems that run. Over 10+ years I've built backend systems that work in production, not just in a demo. For the last few years that's meant AI: agents, RAG pipelines, chatbots, and automation platforms that plug into the tools businesses already use (CRM, ERP, Slack, HubSpot, Microsoft Graph). Where I typically help: → AI Agents & Multi-Agent Systems — task automation, research agents, decision workflows → Workflow Automation — n8n + custom Python replacing manual, repetitive processes → AI Chatbots & Support Assistants — trained on your data, integrated into your stack → RAG Applications — search and Q&A over documents, knowledge bases, and internal data → LLM Integrations — OpenAI, Claude, Gemini, Azure OpenAI, chosen on cost/performance, not hype → MCP Servers & AI Tool Integrations — connecting LLMs to your real systems and APIs → Voice AI, Speech Processing, Document Processing & OCR Tech stack: OpenAI · Claude · Gemini · LangChain · LangGraph · LlamaIndex · CrewAI · n8n · MCP · Python · FastAPI · Laravel · PostgreSQL · Pinecone · ChromaDB · AWS · Docker Working with me: clean, documented code — not throwaway scripts; fast communication (hours, not days); production-grade architecture from day one; support after delivery — I don't disappear at handoff. Next step: send me your requirements, even if they're rough. I'll reply with honest feedback on scope, architecture, and whether AI is actually the right call — no pressure, no generic pitch.