About 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.
Arabic
Native or bilingual
English
Native or bilingual
German
Fluent
Can work on-site
Stuttgart (up to 50km)
Experience
- Mercedes Benz AG (DE)AI-Based Battery ModelingAUTOMOBILEApril 2025 - December 2025 (8 months)Stuttgart, Germany
- 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 - SonyDeep Learning and Neural Nano-OpticsTECHJune 2024 - November 2024 (5 months)Stuttgart, Germany
- 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 - Siemens AGEmbedded AI & Industrial AutomationJuly 2023 - August 2023 (1 month)Kairo, Egypt
- 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
Recommendations
Be the first to recommend Omar
Help this freelancer shine by sharing your experience working together.
These freelancer profiles also match your criteria
Agatha Frydrych
Backend Java Software Engineer
4.7
(3)
2
Baptiste Duhen
Fullstack developer
4.6
(4)
5
Amed Hamou
Senior Lead Developer
4
(2)
7
Audrey Champion
Web developer
4.3
(3)
4
Education
- M.Sc. in Computer SoftwareUniversität Stuttgart2025
- B.Sc. in Mechatronics EngineeringGerman University2023
Certifications
- SIEMENS Software DiplomaGained 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 HackathonDeveloped Virtual Temperature Sensor modeling2025
Skill set
Categories
- Other