Daniel Mirota is a computer vision algorithm engineer with a Ph.D. and 16 years of experience spanning academic medical imaging research and industry roles at Intel and Apple. He combines deep expertise in image registration, video reconstruction and visualization with hands-on implementation in Matlab, C++ and Python, moving prototypes into optimized production code. His background includes postdoctoral research at Johns Hopkins and multiple collaborations translating clinical needs into deployable software, reflecting a rare blend of rigorous research and product-focused engineering. Based in San Jose, he excels at building state-of-the-art registration and visualization pipelines and has a track record of integrating complex medical imaging algorithms into clinical and commercial systems.
16 years of coding experience
14 years of employment as a software developer
Johns Hopkins University
High School, High School at Hunterdon Central
BS, Computer Science, BS, Computer Science at Stevens Institute of Technology
Semester Aboard, Semester Aboard at University of Limerick
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