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muhammadfawaz1/README.md

Muhammad Fawaz

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

vLLM contributor LinkedIn Email


I build production LLM and multi-agent systems, and I work close to the metal on inference internals. Recently a CS graduate; day-to-day I'm a Research Engineer at Xflow Research working on agentic automation, retrieval, and model-serving infrastructure.

I care about correctness in the unglamorous parts of an LLM stack — request validation, error semantics, agent orchestration edge cases — which is how I ended up contributing to vLLM.

🔧 Open source

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

PR 46038 PR 46457 PR 46612

🧰 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

streak

contribution snake

Pinned Loading

  1. vllm vllm Public

    Forked from vllm-project/vllm

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Python

  2. Smart-Home-Energy-Agent Smart-Home-Energy-Agent Public

    A lightweight agent demonstrating ACP and MCP integration for smart-home energy management built to explore multi-protocol agent communication patterns.

    Python

  3. garage-booking-site garage-booking-site Public

    Booking and scheduling site built for a Tyre/garage business, Client project.

    TypeScript

  4. IS-securechat IS-securechat Public

    Python

  5. NG-partitions NG-partitions Public

    Project management tooling for a construction firm — client project.

    TypeScript

  6. OOPs-To-Agents OOPs-To-Agents Public

    A staged progression from hand-rolled, OOP-based agents to full multi-agent frameworks — custom agents → CrewAI → LangChain → LangGraph → RAG, capped with an applied smart-energy demo.

    Python