Hadi Kazemi
Machine Learning Engineer at West Virginia University
Cupertino, California, United States
Summary
👤
Senior🎓
Top SchoolHadi Kazemi is a machine learning engineer at Apple with nine years of experience bridging academic research and production ML, focused on deep learning and computer vision. He holds a PhD in Electrical Engineering from West Virginia University and earlier degrees from Sharif University of Technology, bringing rigorous research training to applied problems. His work spans representation learning with GANs, image-to-image translation, and face verification/synthesis, plus prior research in reinforcement learning for hybrid powertrain control. At Apple since 2019 (after an internship), he applies research-grade methods to scalable, product-facing ML systems in Cupertino. Hadi’s background as an innovation lead on EcoCAR3 and multi-disciplinary projects funded by QNRF/NSF highlights an ability to move ideas from prototype to engineered solutions. He combines academic depth with practical deployment experience, often working at the intersection of cross-domain synthesis and real-world verification challenges.
9 years of coding experience
Doctor of Philosophy (PhD), Electrical and Electronics Engineering, Doctor of Philosophy (PhD), Electrical and Electronics Engineering at West Virginia UniversityBachelor of Science (BSc), Electrical and Electronics Engineering, Bachelor of Science (BSc), Electrical and Electronics Engineering at Sharif University of Technology
English, Persian
Stackoverflow
13reputation
2kreached
0answers
2questions
Github Skills (43)
pytorch10
python10
machine-learning10
deep-learning10
tensorflow10
data-science9
datasets9
torchvision9
neural-network9
computer-vision9
geometry8
structure-from-motion8
jax8
earth8
package8
Programming languages (3)
Github contributions (5)
hadikazemi/Machine-Learning
Dec 2016 - May 2019
Contributions:116 commits, 81 pushes, 1 comment in 2 years 5 months
hadikazemi/Sketch-Photo-Synthesis
May 2019 - May 2019
Contributions:9 commits, 8 pushes, 1 branch in 1 day
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