// about

Engineering at the systems layer.

I build things that run in production on real hardware — not just in notebooks or sandboxes. Backend, embedded Linux, DevOps automation, and applied AI in a single profile.

Portrait of Zaid Khalil Abdel Jalil Diab

now

EFQM/RADAR AI Report Analyzer — an independent project where I'm leading a team of five building an agentic RAG pipeline for automated analysis of self-assessment reports

I am a Computer Science graduate of the German-Jordanian University (with an exchange semester at Trier University focused on robotics, computer vision, and AI), currently interning at Porsche Digital GmbH in Ludwigsburg, Germany, where I work on vehicle software, embedded Linux systems, and AI-driven prototypes within the Vehicle Solutions & Data team.

My core strengths lie at the intersection of backend engineering, embedded systems, DevOps automation, and applied AI. I build things that run in production environments on real hardware, not just in notebooks or sandboxes. From CI/CD pipelines deploying containers onto embedded Linux platforms to real-time computer vision systems processing dashcam footage on edge hardware, my work bridges software engineering with systems-level thinking.

I am based in Stuttgart, Germany and open to relocation. I hold a Fiktionsbescheinigung (residence permit extension) valid through March 2027 and am eligible for Blue Card sponsorship.

  • Currently at

    Porsche Digital GmbH

  • Focus

    Backend · Embedded · DevOps · Edge AI

  • Languages

    Arabic (native) · English C2 · German B1

  • Visa

    Eligible for EU Blue Card sponsorship

// toolkit

Skills

01

AI / ML & Perception

8

Perception, classical ML, and applied LLMs running on real hardware.

  • YOLO
  • Random Forest
  • Computer Vision
  • LiDAR
  • GStreamer
  • SMOTE
  • RAG
  • LLM agents

02

Backend & Systems

7

Services, APIs, and the code that runs underneath.

  • Python
  • C++
  • Rust
  • C#
  • ASP.NET Core
  • REST APIs
  • FastAPI

03

DevOps & Platforms

6

Shipping it — and keeping it alive in production.

  • Docker
  • CI/CD pipelines
  • Linux
  • systemd
  • Shell scripting
  • Git

04

Frontend / Mobile

3

Interfaces and cross-platform mobile apps.

  • Flutter
  • React.js
  • Kotlin

05

Databases

3

Where the state lives.

  • MySQL
  • Firebase Realtime Database
  • SQLite

// uses

What I use daily

The gear and tools I actually reach for, day to day.

Editor & AI Tooling

Code editor
VS Code
AI assistants
Claude CodeChatGPT CodexGeminiGitHub Copilot
AI workflow
OpenSpec — spec-driven workflow that keeps my AI-assisted coding organized and structured

Languages & Runtimes

Daily drivers
PythonC++RustC#/.NET
Regular use
KotlinSQLShell scripting
Frameworks
FastAPIASP.NET CoreFlutterReact.js
Package managers
pipcargonpmNuGet

DevOps & Tooling

Containers
DockerPodman
Version control
Git (CLI only)
CI/CD
GitHub Actions
Linux workflow
systemdshell scriptingSSH
API testing
Postmancurl

AI / Perception Stack

Object detection
YOLO
Video / streaming
GStreamer
ML frameworks
scikit-learn (Random ForestSMOTE)
LLM tooling
Ollama
Edge hardware
ARM-based embedded boardsedge AI accelerators

Hardware

Laptop
HP Omen 16 — Ryzen 9 7940HS, 32 GB RAM, RTX 4070 Laptop (8 GB), 1 TB SSD
Keyboard
NuPhy Air75 with Blush Nano switches
Mouse
Logitech G305 Lightspeed

Operating Systems

Development
Linux (primary)Windows
Embedded targets
Embedded Linux on ARM/x86

// references

People who'll vouch for me

  • Reference

    Dr. Ahmad Barghash

    Academic Supervisor · Associate Professor of Computer Science

    German-Jordanian University

    Relation: Graduation project supervisor (EUNO mood-tracker, 2024–2025)

    Noted I was in the top 5% of graduation project students he supervised and recommended me for consultation positions.

Additional references available on request.