Hi, I’m Yehia Hesham Said Aly Ahmed. I’m a ML Engineer with extensive industry and research experience, focused on building scalable, reliable software for critical applications in automotive and healthcare, and advancing deep learning models with robustness and explainability. I enjoy collaborating across disciplines to translate complex AI research into practical, trustworthy solutions. I thrive on designing robust pipelines, benchmarking models, and improving tooling and workflows to accelerate impact. I’m passionate about uncertainty quantification, OOD detection, and xAI, and I like translating abstract concepts into tangible products that help clinicians, engineers, and stakeholders make better decisions.

Yehia Hesham Said Aly Ahmed

Hi, I’m Yehia Hesham Said Aly Ahmed. I’m a ML Engineer with extensive industry and research experience, focused on building scalable, reliable software for critical applications in automotive and healthcare, and advancing deep learning models with robustness and explainability. I enjoy collaborating across disciplines to translate complex AI research into practical, trustworthy solutions. I thrive on designing robust pipelines, benchmarking models, and improving tooling and workflows to accelerate impact. I’m passionate about uncertainty quantification, OOD detection, and xAI, and I like translating abstract concepts into tangible products that help clinicians, engineers, and stakeholders make better decisions.

Available to hire

Hi, I’m Yehia Hesham Said Aly Ahmed. I’m a ML Engineer with extensive industry and research experience, focused on building scalable, reliable software for critical applications in automotive and healthcare, and advancing deep learning models with robustness and explainability. I enjoy collaborating across disciplines to translate complex AI research into practical, trustworthy solutions.

I thrive on designing robust pipelines, benchmarking models, and improving tooling and workflows to accelerate impact. I’m passionate about uncertainty quantification, OOD detection, and xAI, and I like translating abstract concepts into tangible products that help clinicians, engineers, and stakeholders make better decisions.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Work Experience

Software Engineer – Computational Pathology at AstraZeneca
August 1, 2025 - November 12, 2025
Develop and automate computational pathology pipelines for biomarker discovery and diagnostics; build and maintain ML tools for image and clinical data processing; collaborate cross-functionally with data scientists, pathologists, and bioinformaticians to integrate AI-based solutions; improve code quality, test coverage, and workflow efficiency.
ML Research Engineer: Safety Assurance for AI at IKS
March 1, 2025 - March 1, 2025
Reviewed, reproduced, and benchmarked state-of-the-art OOD robustness and Explainable AI methods; integrated embedding-based OOD detection and similarity search into the evaluation framework; built Streamlit apps and reusable pipelines; documented 500+ robustness failure cases across 3 datasets to enable systematic diagnosis of perception model failures.
ML Research Engineer: Safety Assurance for AI at IKS
September 1, 2024 - September 1, 2024
Reviewed, reproduced and benchmarked OOD, robustness, and Explainable AI (xAI) methods; implemented embedding-based OOD detection and similarity search within evaluation workflows; developed Streamlit apps and reusable pipelines; curated 500+ robustness failure cases across 3 datasets, enabling systematic diagnosis of perception model failure modes.
ML Researcher at The American University in Cairo (AUC)
June 1, 2021 - June 1, 2021
Developed and integrated ML models into an ensemble using PyTorch; participated in research activities.
Embedded Software Engineer at Valeo (ECF), Smart Village
September 1, 2021 - September 1, 2021
Led design and implementation for a new target AURIX TC3xx and its safety mechanisms; built knowledge base, integrated and configured MCAL layer, reported supplier bugs; developed and configured features, RTE, OS, memory and comm stacks; implemented AUTOSAR modules in C/C++; created Python automation scripts to improve code quality and efficiency.

Education

Master of Science in Computer Science at Technical University of Munich (TUM)
October 1, 2021 - March 1, 2025
Bachelor of Science in Computer Engineering at American University in Cairo (AUC)
September 1, 2012 - June 1, 2017

Qualifications

Deep Reinforcement Learning Nanodegree
January 11, 2030 - November 12, 2025
Intro to Parallel Programming CUDA
January 11, 2030 - November 12, 2025
Guinness World Record Award
January 11, 2030 - November 12, 2025
Retrieval Augmented Generation (RAG)
January 11, 2030 - November 12, 2025

Industry Experience

Healthcare, Software & Internet, Media & Entertainment, Education, Professional Services, Manufacturing

Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more