YH

Yehia Hesham Said Aly Ahmed

Available to hire

Hi, I’m Yehia Hesham Said Aly Ahmed.

About

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.

  • Joined November 2025

Industry experience

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

Work experience· 5 roles

Software Engineer – Computational Pathology · AstraZenecaAug 2025 – Nov 2025 · 4 mos

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 · IKSMar 2025 – Mar 2025 · 1 mo

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 · IKSSep 2024 – Sep 2024 · 1 mo

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.

Embedded Software Engineer · Valeo (ECF), Smart VillageSep 2021 – Sep 2021 · 1 mo
ML Researcher · The American University in Cairo (AUC)Jun 2021 – Jun 2021 · 1 mo

Education

Master of Science in Computer Science · Technical University of Munich (TUM)2021 – 2025
Bachelor of Science in Computer Engineering · American University in Cairo (AUC)2012 – 2017

Certifications and awards

Deep Reinforcement Learning Nanodegree2030 – 2025
Intro to Parallel Programming CUDA2030 – 2025
Guinness World Record Award2030 – 2025
Retrieval Augmented Generation (RAG)2030 – 2025

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