Muhammad Basim N.

AI Integration & Systems Engineer | Production Agents · Voice AI · LLM Pipelines · Trading Infrastructure I build AI and backend systems that survive production — multi-agent platforms, voice agents, RAG pipelines, and real-time trading infrastructure that stay reliable under real load. My edge is reliability engineering: I come from trading-systems infrastructure, where a dropped connection or a race condition costs real money, and I bring that same failure-mode discipline to AI systems that most engineers only ship as demos. I'm an engineer, not an API integrator. I don't build prototypes that break the first time they meet real users, latency, or scale — I build systems that hold up. If you have an AI agent, an automation platform, an LLM integration, or a trading system that has to work correctly and reliably in production, that's what I do. ▶ TECHNICAL EXPERTISE ◀ AI Agents & LLMs: multi-agent systems (LangChain, LangGraph, AutoGen), production LLM pipelines, RAG with vector databases, tool/function calling, prompt engineering, multi-provider routing (OpenAI, Claude/Anthropic, Gemini, Bedrock, LLaMA), MCP Voice AI: real-time voice agents (LiveKit, Twilio, Deepgram, ElevenLabs), SIP integration, low-latency STT→LLM→TTS pipelines, concurrent call scaling Backend & APIs: Python (FastAPI, Django, Flask), Node.js, REST APIs, WebSockets, PostgreSQL, Redis, MongoDB Automation & Integration: n8n, Make, Zapier, workflow automation, enterprise integrations (Slack, HubSpot, Salesforce, Microsoft 365, CRMs) Trading & Crypto Infrastructure: exchange connectivity (Binance spot + USDT-M futures, ByBit, Bitget, MEXC), CCXT, order execution & reconciliation, real-time market data, WebSocket stabilization, idempotent order handling Infrastructure & DevOps: Docker, Kubernetes (K3s), CI/CD (GitHub Actions), AWS/GCP/Azure, ArgoCD Languages: Python (asyncio), JavaScript/TypeScript, C++ where latency demands it ▶ WHY CHOOSE ME ◀ 6+ years building production AI, automation, and trading systems. Top Rated with 100% Job Success. MEng in Computer Systems. I've shipped autonomous voice-AI platforms (routing across multiple LLMs and providers, 5x concurrent scaling, per-minute cost cut to $0.20), multi-agent intake systems with full tool integration, and hardened multi-exchange trading infrastructure against the messy reality of live systems — dropped connections, partial failures, race conditions, stale data. I work deeply, I communicate clearly, and I've delivered for clients across the US, UK, and UAE. Tell me what's breaking — or what you're about to build — and I'll tell you straight whether I'm the right fit. Keywords: AI agent development, multi-agent systems, LangChain, LangGraph, AutoGen, RAG, retrieval augmented generation, vector database, LLM integration, OpenAI, Claude, Anthropic, Gemini, prompt engineering, MCP, Model Context Protocol, FastAPI, Python, Node.js, TypeScript, voice AI, LiveKit, Twilio, Deepgram, conversational AI, workflow automation, n8n, Make, Zapier, AI automation, enterprise AI, chatbot development, PostgreSQL, Redis, MongoDB, Docker, Kubernetes, AWS, backend engineering, API integration, WebSocket, real-time systems, Binance, ByBit, crypto trading infrastructure, exchange integration, CCXT, algo trading, execution engine, reconciliation