Summary
Khosro Bahrami is a Senior Computer Vision Engineer with nine years of R&D experience bridging academic research and industry productization, currently applying deep learning at Apple in San Diego. He holds a PhD from Nanyang Technological University and completed a postdoc at UNC, where he developed cascaded 3D CNNs and novel reconstruction methods for high-quality MRI from lower-field scans. His expertise spans 2D/3D computer vision, medical imaging, dictionary learning and sparse representations, and he is fluent in TensorFlow, Keras, Caffe, OpenCV and production languages including C++ and Python. Khosro has led end-to-end projects from algorithm design to software delivery, previously building vision systems at Koh Young and machine-learning research at VizExplorer, and earlier spent seven years developing large-scale engineering software. He brings a rare combination of deep academic rigor and hands-on engineering, often translating sophisticated research (e.g., multi-level canonical correlation and auto-context models) into deployable solutions.
9 years of coding experience
14 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Engineering, Bachelor of Science (B.Sc.), Computer Engineering at Shiraz University
Doctor of Philosophy (PhD), Image Processing, Doctor of Philosophy (PhD), Image Processing at Nanyang Technological University
Master of Science (M.Sc.), Computer Systems Architecture, Master of Science (M.Sc.), Computer Systems Architecture at Sharif University of Technology