Yazeed Alaudah
Machine Learning Engineer at facebook
Summary
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RockstarYazeed Alaudah is a Machine Learning Engineer with 11 years of experience building production-ready AI and data solutions, blending data science, back-end development, and cloud computing. He has hands-on expertise integrating time series preprocessing, API-driven anomaly detection, and real-time visualization—demonstrated by contributions to the Azure Anomaly Detector demo where he developed Python utilities and a Bokeh-based UI. Comfortable across the ML lifecycle, he bridges model development and operationalization, enabling practical, user-facing analytics. Based in the United States, he is an active GitHub contributor focused on accessible ML tooling and cloud-native workflows. Colleagues describe him as a pragmatic problem-solver who turns complex signals into actionable insights.
11 years of coding experience
Github Skills (9)
pandas10
bokeh10
python10
data-analysis9
time-series9
rest-api8
api-rest8
restful-api8
api-design8
Programming languages (7)
Github contributions (5)
Azure-Samples/AnomalyDetector
Jun 2022 - Jul 2022
Samples for the Anomaly Detection API documentation:
Role in this project:
Back-end & Data Scientist
Back-end & Data ScientistContributions:22 commits, 1 PR in 1 month
Contributions summary:Yazeed primarily contributed to a live demo application for anomaly detection, creating and modifying Python scripts. They developed a utility module for handling time series data and interacting with the Azure Anomaly Detector API. The user also implemented a demo application with a user interface using Bokeh for real-time visualization of anomaly detection results. The code includes data loading, preprocessing, API calls, and integration of user-defined parameters for the anomaly detection process.
apianomalyanomaly-detectionapi-documentationanomalydetection
yalaudah/SEG2017-weakly-supervised-labeling
Jun 2017 - Mar 2019
Contributions:1 release, 15 pushes, 1 branch in 1 year 8 months
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