Neil Alldrin is a Staff Software Engineer and computer vision researcher with eight years of industry experience, currently driving large-scale image annotation and deep learning efforts for Google Photos and Image Search. He combines production-grade engineering at Google with a deep academic background—M.S./Ph.D. work at UCSD focused on recovering shape, reflectance, and illumination from photometric cues—bringing both rigorous research and scalable systems experience. Neil has a track record of turning advanced vision algorithms into production pipelines, dating back to roles at Tandent Vision Science and hands-on CV library development during internships. Based in San Jose, he thrives on projects that both leverage and advance state-of-the-art computer vision methods, with a pragmatic bent for building tools that operate at web scale.
8 years of coding experience
7 years of employment as a software developer
B.S., Electrical Engineering & Computer Science, B.S., Electrical Engineering & Computer Science at University of California, Berkeley
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