I build production AI agents and automation systems: multi-agent workflows (LangGraph), RAG, and voice AI that cut manual ops work by 91% for B2B teams.
Top Rated Plus | 100% Job Success | $100K+ earned on Upwork | 2,700+ hours
WHAT I BUILD
Multi-agent business automation (LangGraph, n8n, MCP): supervisor agents orchestrating specialized agents end to end. Example: procurement automation for an industrial equipment supplier, taking a raw email → RFQ → quote → purchase order → payment with 95% less processing time, on $500K orders.
RAG and knowledge assistants: semantic search, vector databases (Pinecone, ChromaDB), chatbots that answer from your own data. One system serves 3M+ users and cut inference costs 43x.
Voice AI agents: real-time, multilingual phone agents (LiveKit, Whisper) handling inbound and outbound calls. 80% of phone orders automated for a restaurant chain.
AI integration into existing operations: invoice → QuickBooks AP automation, AI recruitment pipelines (60% faster hiring), construction drawing/PDF data extraction, B2B lead-gen agents with researched, personalized outreach.
Full-stack product builds: Python/FastAPI, React/Next.js, PostgreSQL, AWS/Azure/GCP, from MVP to production SaaS.
HOW WE WORK
Discovery call, then a written scope priced on deliverables and outcomes, not billable hours. Daily async updates, Loom walkthroughs, weekly live demos. Full handover with team training and one month of post-launch support.
STACK
Agents: LangGraph, LangChain, n8n, MCP, multi-agent systems. LLMs: OpenAI, Claude, Llama. Backend: Python, FastAPI, Django, REST APIs. Frontend: React, Next.js. Data/RAG: Pinecone, ChromaDB, PostgreSQL, semantic search. Voice: LiveKit, Whisper, STT/TTS. Cloud: AWS, Azure, GCP.
Industries served: industrial equipment and B2B supply, healthcare, fintech and accounting, e-commerce, construction, food service.
Send me one sentence about the workflow you want automated and I'll reply with a concrete approach and a fixed quote within 24 hours.
Hassan M. earns an estimated $9.5k/mo. That's 6.3× the typical freelancer and more than 99.86% of everyone we track.