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erdenezul/README.md

Hey, I'm Erdenezul Batmunkh 👋

Senior Full-Stack Engineer · TypeScript / Node.js / React · AI-native products

GitHub followers LinkedIn Gmail

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👨‍💻 About me

  • 🔭 Currently open to new opportunities — Senior Full-Stack / AI-native platform roles
  • 🚀 Founded and built the engineering behind U-Point, now Mongolia's largest loyalty program (~2M users)
  • 🧠 Building hands-on production AI/LLM-Ops experience — RAG systems, evaluation pipelines, tracing (LangChain, Langfuse, Claude API)
  • 🌍 Based in Berlin, Germany 🇩🇪 · 15 years across fintech, security, loyalty platforms, and AI products
  • 💬 Ask me about: distributed systems, AI evaluation/observability, or scrappy 0-to-1 engineering

📌 Featured Projects

  • U-Point Loyalty Platform — upoint.mn Led the full rebuild of Mongolia's largest customer loyalty platform from scratch — replacing a non-functional mocked prototype with a real production system in 6 months. Solved regional cloud-latency issues with an on-premise infrastructure decision, hired and trained the engineering team via pair programming. Now backed by an alliance of Mongolia's top telecom, retail, and food companies, serving ~2 million users. Node.js On-Prem Infra Team Leadership System Design
  • Private Chef Booking Platform — srve.co Founder-engineer on a two-sided marketplace connecting customers with private chefs for events. Built a geospatial matchmaking engine using Uber's H3 hexagonal indexing to match chefs by service radius efficiently, plus background-check provider integration. Led a small distributed engineering team. (Live product — closed source.) React Native Node.js H3.js Geospatial Matching API Integrations
  • plainlang-legal-rag A RAG app that explains German legal and financial documents — insurance policies, bank contracts, rental agreements — in plain English or Mongolian, with answers grounded and cited by page. Built as a controlled experiment: traces and scores a baseline-vs-improved retrieval pipeline (query translation + language-aware prompting) in Langfuse, comparing naive cross-lingual retrieval against a language-aware one. LangChain.js MongoDB Atlas Vector Search Langfuse Multilingual RAG Evaluation

🛠 Tech Stack

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📈 GitHub Stats

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🤝 Let's connect

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