Amgad Ellaboudy
Machine Learning Engineer at Allied Universal
California, United States
Summary
👤
Senior🎓
Top SchoolAmgad Ellaboudy is a Machine Learning Engineer based in California with 10 years of experience building and deploying production ML systems at scale. He has applied ML and geospatial techniques across workforce management and environmental domains, deploying services on AWS and Kubernetes that serve over 800,000 employees and farmers/landowners. His background spans applied research and product work—developing crop suitability and water restoration models using tools from TensorFlow and XGBoost to Google Earth Engine, achieving high model accuracy in real-world deployments. He bridges data engineering and ML, creating ETL pipelines, dashboards, and integrated front/back-end solutions to turn geospatial and tabular data into actionable recommendations. Amgad also contributes ML projects focused on LLMs and related topics on GitHub, signaling an active interest in advancing NLP capabilities alongside geospatial analytics. With a mechanical engineering BS and a master’s in oceanography, he brings a multidisciplinary perspective that helps translate environmental science into scalable ML products.
10 years of coding experience
3 years of employment as a software developer
Master’s Degree Oceanography, Master’s Degree Oceanography at University of SouthamptonData Science, Data Science at Udemy AcademyUniversity of California, Los Angeles
English, ArabicProgramming languages (1)
Github contributions (5)
amgadellaboudy/Portfolio
Jul 2015 - Jan 2023
Contributions:41 pushes, 1 branch in 7 years 7 months
earthshot-labs/water
Jan 2021 - Aug 2021
Contributions:39 commits, 3 PRs, 1 comment in 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.