Zayan J. Aly
Building AI-Powered Anomaly Detection for Nuclear Safety @ Idaho National Laboratory | Computer Vision & Machine Learning for Critical Infrastructure Monitoring | Industrial Engineering + CS
- Role
- Machine Learning Engineer at Idaho National Laboratory
- Location
- Carrollton, TX, US
- LinkedIn followers
- 500 followers
Experience
Machine Learning Engineer
Jan 2025 — Present
U.S. DOE Light Water Reactor Sustainability ProgramAdvanced Remote Monitoring for Operational Readiness (ARMOR)Developed machine learning and computer vision systems to automatically detect equipment failures and safety issues at nuclear facilities through sensor data analysis and drone inspection footage. Identified critical data quality issues that were limiting detection accuracy, leading to hardware upgrades that improved system performance by 2.8x. Built anomaly detection models to identify equipment problems before failures occur, while creating computer vision algorithms that automatically compare inspection images to spot infrastructure changes like missing components or structural damage.
Education
The University of Texas at Arlington
Bachelor of Science - BS, Industrial, Manufacturing, and Systems Engineering
The University of Texas at Arlington
Minor, Computer Science
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