AI Research Engineer · RAG / LLM Systems · Multimodal & Speech AI
Building retrieval, reasoning, and real-time AI systems.
- 🔭 Currently working on RAG systems, speech agents, and end-to-end spoken dialogue models
- 🧩 Interested in multi-hop reasoning, LLM routing, multimodal AI, and real-time AI engineering
- 🎓 Computer Science background from TU Darmstadt
- 🌍 Fluent in Chinese, German, and English
- ⚡ I like turning research ideas into production-ready systems
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RAG & LLM Systems
Multi-hop RAG, hybrid retrieval, vector databases, LLM routing, cost optimization -
Speech & Multimodal AI
Real-time voice agents, speech recognition → RAG → LLM → TTS pipelines, voice cloning -
AI Engineering
PyTorch training, FastAPI services, streaming systems, Docker deployment, Azure AI Studio
Building AI systems that retrieve, reason, speak, and scale.