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Muhammad Fawaz

Research Engineer @ Xflow Research  ·  LLM systems · Agentic AI · Inference internals

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I build production LLM and multi-agent systems and work close to the metal on inference internals. Recently graduated in CS, now working as a Research Engineer at Xflow Research on agentic automation, retrieval, and model-serving infrastructure.

I like fixing the unglamorous parts of an LLM stack: request validation, error semantics, agent orchestration edge cases. That's basically how I ended up contributing to vLLM.

🔧 Open source

vLLM  ·  high-throughput LLM inference engine (83k stars)

PR 46038 PR 46415 PR 46457 PR 46612 PR 47028 PR 48098

🧰 What I work with

LLM / Agents   LangChain · CrewAI · RAG · tool-using agents · intent classification · prompt & orchestration tuning Serving / Infra   vLLM · FastAPI · Pydantic · Docker · GitHub Actions · CI/CD Automation   Playwright · browser agents · workflow orchestration ML / DL   PyTorch · YOLOv8 · U-Net · semantic segmentation · object detection

📌 Selected projects

See pinned repositories below — each ships with a real README, setup steps, and architecture notes.


📊 GitHub activity

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