Curriculum vitae

Moutaz Mohammad

Embedded engineer building intelligent systems

Wolfenbüttel, Germany · moutaz@moutazm.com · LinkedIn · GitHub

Experience

2022 – today

Test Engineer · C&S group GmbH

Wolfenbüttel, Germany

  • CAN / CAN FD conformance testing of the data link layer (ISO 16845-1).
  • Bring-up, debugging and fixing of CAN / CAN FD controller drivers on automotive microcontrollers: RX/TX paths, mailbox handling and race conditions, bus-off handling, FD bit timing, transmitter delay compensation, clock configuration.
  • Python tooling that automates test-result analysis and reporting.

Selected projects

Live in my home

Moutaz Home

A self-hosted homelab on a Raspberry Pi 5 that runs, backs up and watches itself.

Live in my home

Paperless AI

German paperwork filed by an LLM: title, sender, type, amount, deadline, and a short summary in Arabic.

Live in my home

Self-diagnosing server

When a service goes down, the server collects evidence, an LLM diagnoses it, and I get one message with the cause and the fix.

In progress

Home RAG · Master's thesis

Ask questions in Arabic about German documents and get answers with sources, measured, not guessed.

Live in the browser

CAN tools

A CAN FD bit-timing calculator that runs entirely in the browser. A frame decoder comes next.

Education

expected Jul/Aug 2027

M.Sc. Web Technologies

Syrian Virtual University (online)

Thesis: RAG-based document Q&A, cross-lingual (Arabic/German), hybrid retrieval and evaluation.

2014 – 2019

B.Sc. Communications & Electronics Engineering

Yarmouk Private University, Syria

Skills

Embedded & automotive networks: CAN / CAN FD, LIN, Automotive Ethernet (basics), ISO 16845-1 conformance, Controller drivers on MCUs, Bit timing & TDC, Oscilloscope / bus analysis

Python & tooling: Python, Test automation, Log & result analysis, Report generation, CLI tools

Linux, Docker & security: Debian / Raspberry Pi OS, Docker Compose, systemd, Zero Trust (Cloudflare Access, Tailscale), Backups & restore tests (restic), Monitoring & alerting

AI / LLM integration: LLM APIs with structured output, RAG (hybrid retrieval), Evaluation (Recall@k, faithfulness), Prompt-injection-aware design, Cost guards

Web: HTML / CSS / JavaScript, Static sites (Astro), i18n & RTL, Accessibility

Languages

Arabic — native

German — B2

English — C1

Certifications

IBM AI Engineering Professional Certificate (Coursera) (in progress)

Google Cloud Professional Machine Learning Engineer (next goal)