Grant Van Horn
Machine Learning Engineer at Cornell University
California, United States
Summary
👤
Senior🎓
Top SchoolGrant Van Horn is a Machine Learning Engineer with a decade of experience bridging computer vision and realistic rendering, grounded in MS and BS degrees in Computer Science from UCSD. His background includes research-focused ML work at Cornell and early industry internships at Apple and Qualcomm, giving him a blend of academic rigor and product-minded engineering. He specializes in recognition and graphics, applying ML techniques to visual problems with an eye for photorealistic outcomes. Based in California, he pairs research sensibilities with practical implementation experience across both lab and industry settings. An undercurrent of his profile is a long-term focus on making visual ML systems both accurate and visually faithful, rather than purely experimental.
10 years of coding experience
1 year of employment as a software developer
Master of Science (MS), CSE, Master of Science (MS), CSE at UCSDUniversity of California San Diego
Github Skills (25)
annotations10
datasets10
computer-vision10
aris8
classification8
rails-app8
self-supervised-learning8
crowd7
deep-learning6
tensorflow6
aws6
machine-learning6
ruby-on-rails5
crowdsourcing4
rails4
Programming languages (3)
Github contributions (5)
gvanhorn38/crowdsourcing
Dec 2017 - Sep 2018
Crowdsourcing tools to construct datasets.
Contributions:65 commits, 50 pushes, 2 branches in 9 months
datasetsdatasetcrowdcrowdsourcing
visipedia/tf_classification
Feb 2017 - Aug 2018
Contributions:112 commits, 98 pushes, 4 branches in 1 year 5 months
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