Software Engineer Computational Pathology, AI Research
Munich, Bavaria, Germany
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Summary
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Senior
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Top School
Yehia Ahmed is a software engineer specializing in computational pathology and AI research with 11 years of experience building reliable, explainable machine learning systems for safety-critical domains. Currently at AstraZeneca, he designs and automates pathology pipelines and productionizes ML tools across cloud and HPC environments using Python, TensorFlow/PyTorch, and orchestration tools like Airflow/Kubeflow. His background blends embedded AUTOSAR engineering at Valeo with ML research at Fraunhofer and TUM, giving him a rare cross-disciplinary fluency from hardware-constrained systems to large-scale AI workflows. He has contributed to probabilistic deep learning for safety monitoring—work accepted at COPA 2025—and has hands-on experience with SLURM and containerized training setups. Yehia pairs rigorous code quality and test-driven improvement with collaborative integration into clinical and automotive teams, making research models practical and auditable. Based in Munich, he brings both academic depth (MSc TUM) and applied engineering instincts that help translate complex models into dependable products.
11 years of coding experience
4 years of employment as a software developer
Master of Science Informatics, Master of Science Informatics at Technical University of Munich
Bachelor’s Degree Computer Engineering, Bachelor’s Degree Computer Engineering at The American University in Cairo
Contributions:4 pushes, 1 branch in 1 year 9 months
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Yehia Ahmed - Software Engineer Computational Pathology, AI Research