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Omar MouradOM

Durchschnittliche Reaktionszeit: 1h

Über Omar

I am an AI & Simulation Engineer and consultant with a strong background in Mechatronics and Computer Software, holding a Master's degree from University of Stuttgart . My work focuses on AI-driven surrogate modeling , simulation acceleration , and virtual sensing for engineering systems.


I have industry experience developing physics-aware deep learning models for real-world applications, including battery electrochemistry, control systems, and nano-optical simulations. My approach combines first-principles understanding with modern ML techniques to deliver solutions that are fast, interpretable, and production-ready.

I work closely with engineering teams to:
  • Reduce simulation runtimes from hours to milliseconds
  • Replace expensive numerical models with AI surrogates
  • Enable real-time digital twins and virtual sensors
  • Prototype and validate ML solutions for industrial deployment



Core Services

I can help you with:

  • AI-based surrogate modeling for simulations (ML / DL / PINNs)
  • Battery modeling (SPM, P2D-inspired, electrochemical surrogates)
  • Physics-informed machine learning
  • MATLAB & Python simulation automation
  • Virtual sensor development
  • Control-oriented ML models
  • Proof-of-concept ML prototypes for engineering systems


I value clean implementations, clear communication, and solutions that can move from research to production.
  • Arabisch

    Muttersprachlich oder zweisprachig

  • Englisch

    Muttersprachlich oder zweisprachig

  • Deutsch

    Verhandlungssicher

Vor Ort möglich
Stuttgart (bis zu 50 km)

Projekt- und Berufserfahrung

  • Mercedes Benz AG (DE)
    AI-Based Battery Modeling
    AUTOMOBILSEKTOR
    April 2025 - Dezember 2025 (8 Monate)
    Stuttgart, Deutschland
    • Developed AI-driven surrogate models to emulate the electrochemical behavior of lithium-ion battery cells
    • Combined deep learning with physics-based models (SPM, P2D-inspired constraints) to ensure interpretability and physical consistency
    • Designed data pipelines and training workflows for simulation-derived datasets
    • Enabled real-time capable predictions for digital twin and Battery Management System (BMS) applications

    Impact:
    ✔ Reduced simulation runtime from minutes/hours to milliseconds
    ✔ Enabled fast parameter sweeps and online inference

    Machine Learning & Deep Learning Python AI Physics-Informed Neural Networks (PINNs) Battery Modelling
  • Sony
    Deep Learning and Neural Nano-Optics
    HIGHTECH
    Juni 2024 - November 2024 (5 Monate)
    Stuttgart, Deutschland
    • Applied deep learning models to optimize metasurface-based optical systems
    • Automated simulation-to-learning workflows for nano-optical structures
    • Improved imaging quality for ultra-thin lenses with large aperture and wide field-of-view

    Impact:
    ✔ Higher optical performance with reduced physical thickness
    ✔ Accelerated design iteration cycles

    Deep Learning Python Optics Research and Development (R&D) TensorFlow
  • Siemens AG
    Embedded AI & Industrial Automation
    Juli 2023 - August 2023 (1 Monat)
    Kairo, Ägypten
    • Developed Python-based computer vision and hand-gesture recognition using MediaPipe and OpenCV
    • Integrated AI-driven control commands with SIMATIC S7-1500 PLCs and SINAMICS drive systems
    • Worked with real-time software concepts and industrial automation pipelines

    Impact:
    ✔ Reliable human-machine interaction prototype
    ✔ Demonstrated AI integration in industrial control systems

    OpenCV Python drive systems PLC programming Engineering AI / AI for Industrial Systems

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Ausbildung und Abschlüsse

  • M.Sc. in Computer Software
    Universität Stuttgart
    2025
  • B.Sc. in Mechatronics Engineering
    German University
    2023

Zertifizierungen

  • SIEMENS Software Diploma
    Gained expertise in OS fundamentals and real-time software engineering, with proficiency in processing, synchronization, memory management, multithreading, and embedded systems development, including design, requirements, and project management.
    2023
  • Mercedes-Benz AI Hackathon
    Developed Virtual Temperature Sensor modeling
    2025

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