Matthew Hill is a senior AI engineering leader with over a decade building cloud-native AI and MLOps platforms that operate at web scale. As Sr. Director of AI Engineering at Dataminr he unites product, research, and engineering to deliver real-time event detection from streaming data, drawing on prior work that turned Watson Visual Recognition into a cloud product at IBM. He combines hands-on deep learning and systems expertise with experience shipping models to both cloud and edge (iOS/Android), and has a strong background in machine vision dating back to early work on industrial pattern-matching. Based in New York, he pairs Columbia and Cornell computer science training with a track record of scaling AI from research prototypes to production-grade services.
10 years of coding experience
24 years of employment as a software developer
BA Computer Science, BA Computer Science at Cornell University
MS Computer Science, MS Computer Science at Columbia Engineering
A Convolutional Neural Network framework on the Android platform, implemented with RenderScript and Java, supporting MobileNet-SSD and faster-rcnn, integrated to accept models from Watson Visual Recognition. No JNI/C++ dependencies.
Contributions:4 commits, 9 PRs, 13 pushes in 9 months
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Matthew Hill - Sr. Director Of AI Engineering at Dataminr