Omar Shouman
Summary
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SeniorOmar Shouman is a Cloud and AI Lead with a decade of experience building and operationalizing machine learning solutions across academia and industry, most recently leading Cloud & AI at Robusta Technology Group after an AI/ML Data Scientist role at AWS. He combines a Dr. rer. nat. in applied ML for proteomics and an MS in Informatics with hands-on MLOps expertise on AWS to deliver scalable, reliable ML systems that align with business objectives. His background spans research positions at TUM, SAP UCC and LMU to product-focused engineering roles, giving him a rare fluency in both cutting-edge ML research and production-grade deployment. Beyond engineering, Omar has led teams, driven performance improvement and talent development, and taught master-level ML courses—bridging technical depth with people leadership. Based in Germany, he brings interdisciplinary perspective from life-sciences applications to cloud-native AI, often translating complex research into practical, measurable outcomes.
10 years of coding experience
Github Skills (11)
mass-spectrometry10
spectrum10
annotations9
machine-learning9
deep-learning9
python8
refactoring5
tensorflow4
java2
fundamentals2
generative-ai1
Programming languages (3)
Github contributions (5)
wilhelm-lab/dlomix
Jun 2021 - Nov 2022
Python framework for Deep Learning in Proteomics
Contributions:17 releases, 10 reviews, 105 commits in 1 year 6 months
deep-learningpythonframeworkmachine-learningmass-spectrometry
wilhelm-lab/PROSPECT
May 2022 - Mar 2023
Proteomics Mass Spectrometry Datasets for Machine Learning
Contributions:1 release, 41 commits, 15 PRs in 9 months
machine-learningannotationsdatasetdeep-learningfragment-ions
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