Abdullah Alrasheed

Platform Engineering Specialist

Riyadh, Riyadh Region, Saudi Arabia
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Summary

👤
Senior
🎓
Top School
Abdullah Alrasheed is a Platform Engineering Specialist with 13 years of hands-on experience in DevOps, cloud-native infrastructure, and automation, currently driving platform reliability at Takamol Holding in Riyadh. He progressed internally from a COOP DevOps trainee to an associate and now a specialist, demonstrating strong mastery of Linux, CI/CD, Kubernetes, Docker, Ansible, and access control practices. Abdullah pairs practical platform engineering with data science curiosity—he contributed ML tutorial notebooks highlighting NumPy, Pandas, scikit-learn and TensorFlow examples—showing an ability to bridge infrastructure and machine learning workflows. A high-achieving King Saud University graduate (4.37/5), he combines disciplined engineering rigor with a results-oriented mindset that favors demonstrable delivery over rhetoric.
code13 years of coding experience
job2 years of employment as a software developer
bookHigh School Diploma, A+, High School Diploma, A+ at Manarat Al-Riyadh International Schools
bookBachelor's Degree, Computer Engineering, 4.37/5, Bachelor's Degree, Computer Engineering, 4.37/5 at King Saud University
languagesArabic, English
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Github Skills (12)

scikit-learn10
pandas10
machine-learning10
jupyter-notebook10
python10
data-science10
numpy10
scikit10
tensorflow9
markdown-it9
markdown9
latex8

Programming languages (11)

TypeScriptJavaDockerfileC++ShellJavaScriptGoPHP

Github contributions (5)

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TwistedHardware/mltutorial

Jul 2014 - May 2018

Machine Learning Tutorial in IPython Notebooks
Role in this project:
userML Engineer & Data Scientist
Contributions:121 commits, 3 PRs, 59 pushes in 3 years 10 months
Contributions summary:Abdullah created and modified IPython Notebooks demonstrating machine learning concepts. Their contributions included the creation of tutorial notebooks covering topics like Markdown, LaTeX, and the basic Python language. They also worked on examples for NumPy and data analysis with Pandas. The user demonstrated familiarity with Scikit-learn and TensorFlow by working on classification, regression and deep learning.
pythonmachine-learning-tutorialdata-sciencejupyter-notebookipython-notebooks
TwistedHardware/roshanRush

Apr 2014 - Jun 2014

Contributions:99 commits in 2 months
machine-learning-platformpythonlearning-platformdata-sciencesklearn
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Abdullah Alrasheed - Platform Engineering Specialist