Keanu Nichols is a machine learning researcher and PhD student at Boston University with nine years of hands-on experience building computer vision and ML systems. His work centers on phrase localization and large-scale image tasks, combining deep learning for segmentation and classification with practical engineering from prior internships at NASA Ames and open-source sentiment analysis at Google/CHAOSS. He has developed recommender systems, genetic-algorithm schedulers, and high-resolution Landsat segmentation models, showing a knack for bridging research and applied solutions. Keanu’s background—MS in Artificial Intelligence and ongoing PhD training—enables him to move fluidly between experimental research and production-minded prototypes. Notably, he has experience handling unusually large imagery (7601x7761) and deploying probabilistic trade-offs in recommender outputs, indicating strong skills in scalable data and model design.
9 years of coding experience
4 years of employment as a software developer
Computer Science, Computer Science at University of the West Indies, St. Augustine Campus
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Boston University
Contributions:6 PRs, 259 pushes, 5 branches in 2 years
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