Matthew Inkawhich
Machine Learning Engineer at CoVar
Durham, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolMatthew Inkawhich is a machine learning engineer with eight years of experience focused on robustness and computer vision, recently earning a PhD from Duke University under Dr. Yiran Chen. He has a strong track record translating academic research into applied systems across government and industry, from multiple internships at the Air Force Research Laboratory to roles at Booz Allen Hamilton and the DAF AI Factory. His work spans open-set and adversarial robustness, remote sensing and overhead imagery, and practical inference-time improvements for convolutional networks. Now based in Durham and currently at CoVar, he combines rigorous research chops with hands-on engineering to move models from prototype to production. An often-overlooked strength is his early experience documenting deep learning frameworks, which gives him an unusually clear communication style for complex ML systems.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, 4.00, Doctor of Philosophy - PhD, 4.00 at Duke UniversityBachelor of Science - BS, Computer Software Engineering, 4.00, Bachelor of Science - BS, Computer Software Engineering, 4.00 at Clarkson University
Github Skills (50)
pytorch10
python10
machine-learning10
deep-learning10
gpu10
numpy9
tensorflow9
neural-network9
cli9
gpu-acceleration9
computer-vision8
object-detection8
autograd8
pose-estimation8
acceleration8
Programming languages (3)
Github contributions (5)
MatthewInkawhich/caffe2
Mar 2018 - Mar 2018
Contributions:21 pushes in 27 days
pytorchscalablecaffe2deep-learningmachine-learning
MatthewInkawhich/object_localization_network
Sep 2021 - Mar 2023
Learning Open-World Object Proposals without Learning to Classify
Contributions:29 pushes, 2 branches in 1 year 5 months
object-proposalsdeep-learningproposalsmachine-learningopen-world
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