Yehia Ahmed
Software Engineer Computational Pathology, Ai Research @阿斯利康
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WORK HISTORY
Software Engineer Computational Pathology, Ai Research @阿斯利康
Munich, DE
Developing, designing and automating computational pathology pipelines for biomarker discovery and diagnostics. Developing and maintaining machine learning and data ingestion tools for image and clinical data processing. Implemented data warehousing in Snowflake; deployed applications on Domino platform using fiftyone & nicegui libraries. Collaborating cross-functionally with data scientists, pathologists, and bioinformaticians to integrate AI-based solutions. Enhancing existing frameworks by improving code quality, test coverage, and CI/CD workflow efficiency.
EDUCATION
Technical University of Munich
Master of Science, Informatics
The American University in Cairo
Bachelor’s Degree, Computer Engineering
SKILLS
ABOUT YEHIA AHMED
ML engineer focused on building safe, reliable, and explainable AI!Extensive industry & research experience, specializing in developing scalable, reliable software for criticalapplications (automotive, healthcare) and advance DL models focused on robustness, uncertainty quantification, and explainability. Spanning computer vision, time‑series modeling, and automated pipelines and SW developing- Msc from Technical University of Munich (TUM) in Informatics with Focus on Machine Learning and Data Analytics. Published work in AI safety assurance (robustness, uncertainty, xAI)- Bsc from American University in Cairo (AUC) in Computer Engineering with a minor in Business administration- Prior experience as a Senior embedded software engineer in automotive (C/C++, AUTOSAR)- Prior experience as ML engineer in automotive (python, pytroch)- Skilled in English, C++, C, Python, Pytorch, Keras, and Nodejs- Hands‑on with Azure, Snowflake, Domino;
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