Amir Farzaneh is a Lead Data Scientist based in Irvine, CA with a PhD in Computer Science and nine years of experience applying deep learning and computer vision to real-world problems. He has progressed from research roles and teaching at Utah State University to R&D and leadership positions at CCC Intelligent Solutions, where he now leads teams solving convolutional neural network optimization challenges. Amir combines hands-on development with research rigor—publishing and contributing to deep learning frameworks—and is particularly focused on making supervised learning models more efficient and robust in production. A futurist passionate about AI’s role in enhancing everyday life, he bridges academic insight and product-driven engineering to deliver practical, scalable vision systems.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Utah State University
Master of Science (M.Sc.) Electrical and Electronics Engineering, Master of Science (M.Sc.) Electrical and Electronics Engineering at Shahrood University of Technology
Bachelor of Science (B.Sc.) Electrical and Electronics Engineering, Bachelor of Science (B.Sc.) Electrical and Electronics Engineering at Shahid Beheshti University
Contributions:8 commits, 11 pushes, 1 branch in 4 months
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