// about
AI engineering with real software underneath.
I build AI agent workflows, RAG pipelines, and custom automation that can become real software. AI first, then software engineering, DevOps, backend, and Linux/systems depth.
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 primary positioning is AI engineering: AI agent workflows, RAG and document-analysis pipelines, local LLM systems, intelligent LLM routing, AI-assisted engineering workflows, and custom AI automation for business processes. I do not treat AI as a demo layer; I build the software, backend, DevOps, and Linux systems around it so the workflow can actually run in production.
My second pillar is software engineering, followed by DevOps and platform work, backend engineering, and Linux and systems depth. 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 AI engineering with practical software delivery.
I am based in Stuttgart, Germany and open to roles and projects across Europe and the Middle East. I hold a Fiktionsbescheinigung valid through March 2027 and am eligible for Blue Card sponsorship. I am also open to freelance AI automation, AI agent, RAG, backend, and software engineering work.
Currently at
Porsche Digital GmbH
Focus
AI Agents · RAG · Software · DevOps · Backend
Languages
Arabic (native) · English C2 · German B1+
Visa
Eligible for EU Blue Card sponsorship
// toolkit
Skills
01
AI / ML & Agents
RAG pipelines, LLM agents, local inference, LLM routing, perception, and classical ML.
- RAG pipelines
- LLM agents
- Local LLM inference
- LLM routing
- YOLO
- Random Forest
- Computer Vision
- LiDAR
- GStreamer
- SMOTE
02
Backend & Systems
Services, APIs, and the code that runs underneath.
- Python
- C++
- Rust
- C#
- ASP.NET Core
- REST APIs
- FastAPI
03
DevOps & Platforms
Shipping it — and keeping it alive in production.
- Docker
- CI/CD pipelines
- Linux
- systemd
- Shell scripting
- Git
04
Frontend / Mobile
Interfaces and cross-platform mobile apps.
- Flutter
- React.js
- Kotlin
05
Databases
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
- ChatGPT CodexClaude CodeGeminiGitHub Copilot
- Spec flow
- OpenSpec — proposals, requirements, task lists and validation gates for AI-assisted builds
- Agent loops
- Codex and Claude for planning; implementation; debugging; review loops; repo-aware refactors
- Validation
- Type checks; linting; production builds; browser smoke tests; deployment checks; performance profiling
- Repo context
- Repo-first development: inspect the codebasedocsgit historyruntime and logs before changing things
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
- Agents
- Custom AI agent workflows; tool orchestration; structured outputs; human review loops
- Retrieval
- RAG; document analysis; local knowledge bases; business-report generation
- LLM tooling
- Ollama for local LLM experiments; prompt iteration; model-routing workflows
- Object detection
- YOLO
- Video / streaming
- GStreamer
- ML frameworks
- scikit-learn (Random ForestSMOTE)
- 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.
