Muhammad K.
AI Agent Developer | AI Automation, n8n, RAG & Full-Stack Web Apps
I build the AI agents, automation workflows (n8n, Make, GoHighLevel, Langchain, Lang-Graph) and Full-stack web apps that take it over. I design the system first, then write the code. Most automations fail because of design, not code: the wrong tool, no error handling, no way for a person to step in. So I start by mapping your process, then build the simplest system that does the job reliably and can grow with your business. WHAT I BUILD - AI agents and multi-agent systems: LangChain, LangGraph and CrewAI agents that research, write, qualify leads and take action, with human-in-the-loop approval where it matters - Business process automation: n8n, Make and GoHighLevel workflows connecting your CRM, email, forms, calendars and APIs, with logging and retries so nothing fails silently - Lead generation and outreach systems: web scraping, Apollo and Clay enrichment, personalized cold email and AI calling, tracked on a KPI dashboard - Custom CRMs and dashboards built around your pipeline, not a template - RAG chatbots and AI search (retrieval-augmented generation): GPT, Claude and open-source LLMs answering from your own documents and data - Full-stack web apps and SaaS MVPs: React, Next.js, Node.js, FastAPI, PostgreSQL SYSTEMS I'VE BUILT - Real estate outreach engine: pulls leads from Apollo and Clay, sends personalized cold emails, and flags hot replies for a human on a live KPI dashboard - Lead generation and AI calling system for a US legal services firm: scrapes and refines prospect data, then places automated outreach calls - Plug-and-play AI SEO agent: connects to Shopify, WordPress, WooCommerce or custom sites and handles SEO hands-off - MedScholar: semantic search across 1M+ research articles using hybrid RAG (Neo4j + FAISS), with referenced answers - AI analytics platform for the shipping industry: real-time insights and predictive analytics for operations HOW WE'LL WORK 1. A short call or chat to understand your process and goal 2. A written plan: architecture, tools, running costs, timeline 3. Milestone-based build with demos you can test 4. Handover with documentation, plus support after launch if you need it TECH STACK AI: Python, LangChain, LangGraph, CrewAI, OpenClaw, Hermes, GPT, Claude, Llama, RAG, Pinecone, Chroma, FAISS, Neo4j Automation and CRM: n8n, Make, GoHighLevel, REST APIs, webhooks, web scraping Full-stack: React, Next.js, Node.js, FastAPI, PostgreSQL Tell me what you want to automate or build. I'll reply with how I'd approach it, what it would take, and whether automation is actually the right fix.
Earnings and projects
Last 6 months ÷ 6
Last 6 months: $352
Billed in all: $1,660$1.7k
$176 in the last 6 months
Earnings, last 30 days
Skill rankings: Top 29% in Bot Development
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