Amir Ghaderi
Senior Machine Learning Engineer at Waymo
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolAmir Ghaderi is a Senior Machine Learning Engineer with a decade of experience building perception systems for autonomous vehicles and camera-based AI. Currently at Waymo after leading perception work at Zoox, he brings deep expertise in computer vision and deep learning developed through roles at Facebook, AutoX, and research during a PhD at UT Arlington. He has a strong track record of moving research into production—designing perception stacks that operate in real-world driving conditions. Based in the San Francisco Bay Area, Amir combines academic rigor with practical deployment experience across startups and large tech firms. An unusual blend of industrial engineering, business training, and a PhD gives him a systems-oriented view of ML problems, from algorithm design to product integration.
10 years of coding experience
10 years of employment as a software developer
Ph.D, Computer Science, Ph.D, Computer Science at The University of Texas at ArlingtonAmirkabir University of TechnologyMaster's degree, Business Administration and Management, General, Master's degree, Business Administration and Management, General at University of Tehran
Github Skills (14)
neural-network10
machine-learning10
deep-learning10
tensorflow10
deep-neural-networks10
python10
ml10
time-series7
autonomous-driving4
transformer3
point-cloud3
3d2
cnn-architecture2
human-pose-estimation1
Programming languages (2)
Github contributions (5)
amirstar/Deep-Forecast
Jul 2017 - Feb 2020
The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.
Contributions:10 commits, 9 pushes, 1 branch in 2 years 7 months
deep-learningtime-series
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