khalfallah g.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Nov 5, 2026.

Most AI failures aren't model failures. They're architecture failures brittle pipelines, no evaluation loops, systems that can't handle real data at real scale. I'm an AI Engineer who helps startups and companies turn AI from a concept into production-ready systems reliable, scalable and cost-efficient. If your AI hallucinates, drifts over time, or only works on clean data, that's the problem I solve. ──────────────────────────────────── 🌟 WHAT I CAN BUILD FOR YOU ──────────────────────────────────── ✅ Agentic RAG & Corrective RAG Systems – Multi-step reasoning, source verification, hallucination correction – Hybrid retrieval (vector + keyword + structured data) – Automated evaluation loops with >90% accuracy targeting – Works on PDFs, PPTX, XLSX, Docs, databases, and live APIs ✅ Multi-Agent Systems & AI Automation – Coordinated agent teams (LangGraph, LangChain, AutoGen) – Autonomous workflows for research, ops, reporting, decision support – Integrations: Slack, Telegram, WhatsApp, Email, Calendar, CRMs ✅ Continuous Learning Pipelines – Real-time data ingestion (APIs, scrapers, databases, files) – Incremental embeddings, live indexing, drift detection – Human-in-the-loop feedback and automated retraining ✅ AI-Powered Backends & APIs – FastAPI microservices and production-grade Python services – AI features embedded directly into your existing product – ETL pipelines, n8n workflows, scalable cloud deployment ✅ AI Architecture Consulting – Architecture reviews for teams building with LLMs – Cost optimization: open-source vs. proprietary tradeoffs – Production best practices, monitoring, and reliability layers ──────────────────────────────────── ✅ RECENT WORK ──────────────────────────────────── ▸ Unstructured Data Intelligence Engine Built an Agentic + CRAG RAG system that ingests messy PDFs, PPTX, XLSX, and Docs and transforms them into a structured, queryable knowledge base with automated accuracy validation. ▸ Real-Time Market Intelligence Platform Full automation pipeline — scrapers → preprocessing → embeddings → live index → multi-agent decision layer for continuous market monitoring with zero manual updates. ──────────────────────────────────── 🌟 WHY CLIENTS CHOOSE ME ──────────────────────────────────── ✔ 5-star track record : every project delivered to the client's exact requirements, on time ✔ Real business value, not AI demos : every system is designed to be useful, maintainable, and scalable ✔ LLMs in production, not experiments : I specialize in AI that works in real environments under real load ✔ Full documentation on everything : every project includes clear documentation and step-by-step guides so your team can understand, maintain, and extend what was built ✔ Honest tradeoffs : I'll tell you when open-source beats GPT-4o/Gemini and when it doesn't ✔ Clear communication : you'll always know what's happening, what's next, and why ✔ Complete handoff : not just code, but everything your team needs to own it confidently ──────────────────────────────────── 🛠 TECH STACK ──────────────────────────────────── Frameworks: LangGraph, LangChain, LlamaIndex, AutoGen, Google ADK LLMs: GPT-4o, Gemini 1.5 Pro, Claude , Llama3, Qwen3, Mistral, Gemma Vector DBs: Qdrant, Weaviate, Pinecone, ChromaDB, FAISS, Elasticsearch Infra: FastAPI, Docker, n8n, Google Cloud , Ollama , HuggingFace My goal is simple: to deliver AI that makes you say "this actually works in production." If you're building something serious, not a proof of concept, but a system that needs to work reliably at scale send me a message with what you're working on. I'll tell you you honestly whether I can help.