Zaid Diab

• Embedded Linux CI/CD & OTA Infrastructure

  2025 — present
  • Built production-grade CI/CD pipelines for deploying containerized applications onto embedded Linux hardware.
  • Implemented OTA update mechanisms with automated version checking, fallback logic, and health monitoring.
  • Represents hands-on experience with infrastructure that ships on real hardware in an automotive context.
  • Docker
  • Linux
  • systemd
  • Shell
  • C++
  • Python
  • ARM/x86
  • CI/CD
  • REST

  Completed (Porsche Digital internship)

• Edge AI Computer Vision Prototype

  2025 — present
  • Real-time computer vision system processing dashcam video on embedded edge hardware.
  • YOLO for object detection; outputs both visual overlays and structured metadata that drives ambient light feedback.
  • Modular GStreamer pipeline with distinct preprocessing, inference, post-processing, and visualization stages.
  • GStreamer
  • YOLO
  • Edge AI
  • Embedded Linux
  • Python
  • C++

  Completed (Porsche Digital internship)

• Confidential AI/Technical Evaluation (NDA)

  2025 — present
  • Researched and compared tools, hardware/software options, and AI approaches for an early-stage internal project.
  • Tested options, documented findings, prepared internal summaries to support architectural and strategic decisions.
  • Specifics under NDA.
  • AI research
  • Hardware/software benchmarking
  • Internal technical reporting

  Completed (Porsche Digital internship)

• EUNO: ML-Based Mood Tracker (Graduation Project)

  Oct 2024 — Mar 2025
  • ML-powered mood tracking app predicting mood-streak continuations from historical emotional data.
  • Random Forest classifier (~87% accuracy, ROC AUC 0.95) trained with SMOTE for class imbalance.
  • FastAPI backend serves real-time predictions; Flutter app collects data and visualizes predictions.
  • Built with Jaser Quteshat under Dr.
  • Ahmad Barghash.
  • Python
  • Random Forest
  • SMOTE
  • FastAPI
  • Flutter
  • SQLite
  • Firebase

  Completed

• Yoga Studio Management Platform

  Mar 2024 — Jul 2025
  • Full-stack studio management with three integrated components: a Flutter member app (booking, subscriptions, scheduling), a React.js admin dashboard (classes, members, analytics), and an ASP.NET Core backend with RBAC and relational schema.
  • Flutter
  • React.js
  • ASP.NET Core
  • MySQL
  • REST
  • RBAC

  Completed

• Autonomous Robotics System with YOLO + LiDAR

  2025
  • AI-driven robotics prototype combining computer vision and sensor fusion.
  • YOLO for real-time visual recognition, LiDAR for obstacle avoidance and mapping, custom path-planning logic using detected objects as waypoints.
  • Demonstrated in simulation and real-time experiments.
  • YOLO
  • LiDAR
  • Robotics
  • Environment mapping
  • Path planning

  Completed (Trier University exchange)

• Automated Shopping / Retail Automation Prototype

  2025
  • Retail automation prototype for autonomous product handling.
  • YOLO-based fruit recognition on a conveyor/shelf, grasp-point detection for robotic-arm manipulation, closed-loop camera-driven automation.
  • YOLO
  • Camera systems
  • Robotic arm

  Completed (Trier University exchange)

• Kotlin Driver/Admin Mobile App

  May — Jun 2024
  • Dual-interface logistics app with separate driver and admin views, real-time task management via Firebase, role-based authentication, Material Design UI.
  • Kotlin
  • Firebase Realtime Database
  • Material Design

  Completed

• EFQM/RADAR AI Report Analyzer for KACE

  2026 — present
  • Agentic AI pipeline for analyzing EFQM self-assessment reports.
  • Uses local LLMs (no external APIs) for confidentiality.
  • Detects conflicts, inconsistencies, and gaps; generates structured assessor reports based on RADAR scoring; can also analyze human assessor reports for QA.
  • RAG
  • LLM agents
  • Document analysis
  • Local LLMs

  In development (independent)

1. Oct 2025 → Present

   Intern, Vehicle Solutions & Data

   Porsche Digital GmbH · Ludwigsburg, Germany

   Work within a cross-functional engineering team following Scrum-based agile practices. Given real responsibility from day one across multiple projects; direct supervisor Nikolay Dreharov.

   Embedded Linux CI/CD & OTA Infrastructure

   • Built and maintained CI/CD pipelines for container-based application deployments on embedded Linux systems (ARM/x86).
   • Developed containerized backend services in C++ and Python, deployed on custom hardware platforms.
   • Implemented a REST-based Over-the-Air (OTA) update mechanism with automated version checks for remote software updates on embedded targets.
   • Added reliability safeguards including fallback logic and health monitoring to ensure production stability.
   • Automated build, deployment, and update workflows using Docker, systemd, and shell scripting.

   Edge AI Computer Vision Prototype

   • Developed an edge-based computer vision prototype for real-time dashcam footage processing.
   • Built the perception pipeline using GStreamer with YOLO for object detection (vehicles, pedestrians, environmental elements).
   • Entire pipeline ran locally on embedded edge hardware — low latency, no cloud dependency.
   • Implemented preprocessing, inference, post-processing (NMS, filtering), and output generation stages.
   • Produced two outputs: processed video stream with bounding-box overlays and structured per-frame detection metadata.
   • Metadata drove simplified visual feedback (ambient light signals) representing nearby objects or hazards.
   • Concept explored real-time visual perception supporting driver awareness in low-visibility conditions.

   Confidential AI/Technical Evaluation Project (NDA)

   • Contributed to an early-stage confidential internal project where technical direction was still being shaped.
   • Investigated and compared tools, technologies, hardware/software options, and AI-related approaches.
   • Tested options, documented observations, and prepared internal reports.
   • Evaluated approaches for what was practical and sustainable, not just technically possible.

   Recognition

   • Treated as a full team member; involved in real technical discussions and decisions.
   • Recognized by supervisor for high initiative, structured problem-solving, and clear technical communication.

2. Jun 2024 → Jul 2024

   Intern, Backend Development

   Javna Mobile Media & Technology Solutions · Amman, Jordan

   Backend development internship with hands-on ASP.NET Core and MySQL work.

   Contributions

   • Developed RESTful APIs using ASP.NET Core for mobile and web applications.
   • Designed relational data models and implemented CRUD using Entity Framework Core and MySQL.
   • Optimized API performance through query tuning, caching, and structured backend refactoring.
   • Worked in an agile team with Git-based version control and code review workflows.
   • Collaborated with frontend and product teams to integrate backend systems with user-facing features.

• Sep 2021 — 2026

  BSc Computer Science

  German-Jordanian University (GJU)

  Amman, Jordan

  Focus: Artificial Intelligence, Software Engineering, Web Technologies.

• Mar 2025 — Aug 2025

  Exchange Semester, Computer Science

  Hochschule Trier (Trier University of Applied Sciences)

  Trier, Germany

  Focus: Robotics, Computer Vision, and Artificial Intelligence.

• 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.