Aryan Mobiny
Research Assistant at UT
Sunnyvale, California, Iran
Summary
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Rockstar🎓
Top SchoolAryan Mobiny is a research-focused engineer with 9 years of experience at the intersection of control systems and machine learning, currently working as a Research Assistant in Sunnyvale. With a strong academic foundation (MSc, University of Tehran; BSc, Iran University of Science & Technology) and top grades in electrical and electronics engineering, he has practical lab and teaching experience in linear and modern control systems. He has applied that control-theory rigor to ML projects—contributing to easy-tensorflow tutorials that demonstrate hands-on TensorFlow model design, training pipelines, and TensorBoard instrumentation. Based in the Bay Area but originally from Iran, Aryan blends academic research habits with industry ML practices at Amazon, making him adept at translating theoretical models into reproducible code and clear educational artifacts. An often-overlooked strength is his background in curriculum and exam development, which surfaces in his ability to produce clear, tutorial-quality documentation and learning resources.
9 years of coding experience
Master's degree, Electrical and Electronics Engineering, 18.48 (out of 20.00), Master's degree, Electrical and Electronics Engineering, 18.48 (out of 20.00) at University of TehranBachelor's degree, Electrical and Electronics Engineering, 16.10 (out of 20.00), Bachelor's degree, Electrical and Electronics Engineering, 16.10 (out of 20.00) at Iran University of science and technology
English, Arabic, Persian
Stackoverflow
424reputation
45kreached
10answers
1question
Github Skills (13)
machine-learning10
rnn-model10
tensorflow10
python10
n10
image-classification10
tensorboard9
keras6
opencv6
deep-learning6
image-segmentation6
tflearn6
image6
Programming languages (2)
Github contributions (5)
easy-tensorflow/easy-tensorflow
Jan 2018 - Sep 2018
Simple and comprehensive tutorials in TensorFlow
Role in this project:
ML Engineer
ML EngineerContributions:134 commits, 7 PRs, 142 pushes in 8 months
Contributions summary:Aryan contributed to the development of tutorials on TensorFlow, focusing on the implementation of neural network models for various tasks, including image classification using a linear classifier and a recurrent neural network (RNN). Their work involved defining placeholders, model structures, loss functions, and optimizers, demonstrating a strong understanding of TensorFlow's core components. The user also worked on incorporating tools like TensorBoard to visualize and monitor model training and performance, including scalar, histogram, and image summaries.
tensorflowdeep-learningreinforcement-learningmachine-learningpattern-recognition
amobiny/CT_Semantic_Segmentation
Oct 2018 - Mar 2019
Contributions:41 commits, 47 pushes, 1 branch in 4 months
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