Abel Gebresilassie
Senior Diagnostics Design Engineer Data Scientist
Eindhoven, North Brabant, Netherlands
Summary
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Senior🎓
Top SchoolAbel Gebresilassie is a Senior Diagnostics Design Engineer and Data Scientist with 10 years of experience applying machine learning and physics-informed analytics to diagnose and optimize EUV source subsystems at ASML. He blends a strong computational materials science background (PhD in modeling YSZ biomaterials) with industrial data science practice, enabling him to translate first-principles thinking into robust KPIs, PoCs, and production dashboards for high-power laser chains. His work spans the full data lifecycle—from preprocessing and automated data pipelines to advanced monitoring, anomaly detection, and stakeholder-facing visualization—focused on improving fleet performance and quantifying upgrade impacts. Previously he delivered predictive maintenance and root-cause analysis for SMT lines at Omron and trained in applied data science through a PDEng, giving him practical experience with big-data tools, deep learning, and privacy-aware analytics. Notably, he leverages domain physics to design diagnostics that reveal subtle performance shifts that pure data-only approaches often miss. Based in Eindhoven, he is a lifelong learner who enjoys turning complex simulation outputs and experimental logs into actionable insights.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Applied Science - BASc Applied Physics, Bachelor of Applied Science - BASc Applied Physics at Debub UniversityPhD in Materials Science Engineering Computational Materials Science, PhD in Materials Science Engineering Computational Materials Science at INSA Lyon - Institut National des Sciences Appliquées de LyonMasters Student in physics Physics (Statistical and Computational Physics), Masters Student in physics Physics (Statistical and Computational Physics) at École normale supérieure de LyonMaster's degree Physics (Statistical and Computational Physics), Master's degree Physics (Statistical and Computational Physics) at Sapienza Università di RomaPDEng in Data Science Data Science, PDEng in Data Science Data Science at Jheronimus Academy of Data ScienceMaster's degree Physics (Statistical and Computational Physics), Master's degree Physics (Statistical and Computational Physics) at Addis Ababa University
English, Amharic, Tigrinya, French
Github Skills (9)
mnist10
convolutional-neural-networks9
benchmark8
computer-vision7
deep-learning6
machine-learning6
database5
pytorch5
tensorflow4
Programming languages (1)
Github contributions (5)
abelusha/MNIST-Fashion-CNN
Sep 2017 - Sep 2017
Contributions:14 commits, 13 pushes, 1 branch in 6 days
abelusha/AutoEncoders-for-Anomaly-Detection
Jun 2018 - Jun 2018
Contributions:15 commits, 14 pushes, 1 branch in 4 days
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