Nima Hamidi is a Computer Vision Team Lead with nine years of experience applying deep learning and computer vision to real-world problems, currently leading CV initiatives at Bayer. With advanced degrees in both music (PhD) and computer science (MS), he brings a rare blend of creative pattern recognition and rigorous technical engineering to AI research and productization. He has progressed through multiple data science roles at Bayer, shipping models and pipelines in TensorFlow and PyTorch and leveraging GPU-accelerated workflows. Nima’s cross-disciplinary background informs novel solutions in audio/music processing as well as vision, often drawing connections between musical structure and signal modeling that guide his approach to representation learning. Based in Houston, he combines academic research instincts with production-focused delivery, mentoring teams while driving innovation at the intersection of art and machine intelligence.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Music Theory and Composition, Doctor of Philosophy (PhD), Music Theory and Composition at University of Iowa
Contributions:15 commits, 14 pushes, 1 branch in 2 days
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