I'm a results-driven Data Scientist with a strong background in computer vision and deep learning. I enjoy leveraging tools like Python, PyTorch, and JAX to build and optimize deep learning models, and I'm passionate about creating efficient data pipelines that handle large-scale data with ease. Working at companies like CARIAD and Siemens Bank, I've gained valuable experience in both research and practical implementations. I graduated with distinction from the Technical University of Munich in Data Engineering and Analytics and have always been fascinated by spatial modeling and 3D reconstructions. I find joy in solving complex problems and continuously improving my skills in machine learning and cloud technologies. Outside of work, I appreciate collaborative environments and enjoy sharing knowledge to drive innovation.

Ebraheem Abdelhafez

I'm a results-driven Data Scientist with a strong background in computer vision and deep learning. I enjoy leveraging tools like Python, PyTorch, and JAX to build and optimize deep learning models, and I'm passionate about creating efficient data pipelines that handle large-scale data with ease. Working at companies like CARIAD and Siemens Bank, I've gained valuable experience in both research and practical implementations. I graduated with distinction from the Technical University of Munich in Data Engineering and Analytics and have always been fascinated by spatial modeling and 3D reconstructions. I find joy in solving complex problems and continuously improving my skills in machine learning and cloud technologies. Outside of work, I appreciate collaborative environments and enjoy sharing knowledge to drive innovation.

Available to hire

I’m a results-driven Data Scientist with a strong background in computer vision and deep learning. I enjoy leveraging tools like Python, PyTorch, and JAX to build and optimize deep learning models, and I’m passionate about creating efficient data pipelines that handle large-scale data with ease. Working at companies like CARIAD and Siemens Bank, I’ve gained valuable experience in both research and practical implementations.

I graduated with distinction from the Technical University of Munich in Data Engineering and Analytics and have always been fascinated by spatial modeling and 3D reconstructions. I find joy in solving complex problems and continuously improving my skills in machine learning and cloud technologies. Outside of work, I appreciate collaborative environments and enjoy sharing knowledge to drive innovation.

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Experience Level

Expert
Expert
Expert
Intermediate
Intermediate
Intermediate

Language

Arabic
Fluent
English
Fluent
German
Intermediate

Work Experience

Data Scientist II at CARIAD SE (Volkswagen Software Arm)
November 1, 2023 - Present
Designed and implemented robust data pipelines using Azure Data Factory, streamlining ETL processes to efficiently process terabytes of data daily. Leveraged PySpark on Databricks to optimize large-scale data transformations, boosting processing efficiency by 50%. Developed advanced unsupervised learning algorithms to detect root causes for failures that occur during test rides.
Data Scientist at CARIAD SE (Volkswagen Software Arm)
October 31, 2023 - August 1, 2025
Tweaked and fine-tuned models before deployment to multiple countries to ensure best performance during dry runs. Integrated temporal fusion component for 3D object detection with BEV Networks, improving detection precision with lower hardware setup costs.
Machine Learning Researcher at Machine Learning Research Lab of Volkswagen
August 31, 2022 - August 1, 2025
Parameterized 3D scenes into JAX-based differentiable hash tables, enabling efficient, high-resolution reconstructions. Delivered high-fidelity 3D reconstructions (800x800x800) using closed-form and learning-based inference, surpassing previous benchmarks. Reduced memory usage by 40% with hash table parameterizations, surpassing traditional grid-based methods.
Data Scientist at Siemens Bank GmbH
November 30, 2021 - August 1, 2025
Built ML classifiers to assess lease approval certainty across countries, saving 20% of salespeople time and maintaining projected finance per month in multiple countries. Created R-Shiny apps for HANA Data Lake, boosting data analysis and automating reporting processes.

Education

M.Sc. at Technical University of Munich
October 1, 2019 - August 31, 2022
B.Sc. at German University in Cairo
September 1, 2014 - July 31, 2019

Qualifications

Deutschlandstipendium
October 1, 2019 - December 31, 2019

Industry Experience

Software & Internet, Transportation & Logistics, Financial Services, Manufacturing, Professional Services