Peter Merrill
Digital Imaging And Video, Principal Scientist at Adobe Systems Incorporated
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolPeter Merrill is a principal scientist and hands-on technologist with over three decades of experience designing and shipping imaging and video technologies at Adobe, including foundational work on Photoshop, Camera Raw, Lightroom and the mobile app Adobe Vibe. He combines deep systems and product expertise—cross-platform architecture, AVFoundation, and image pipelines—with modern machine learning, having invented a production system that turns hours of editing into 20–30 second automatic music videos on iOS. Peter has led technical turnarounds, transformed Camera Raw from a plugin into a multi-platform “company jewel,” and driven cross-product video integration across Adobe’s flagship apps. Comfortable shifting between coding, research and lightweight management, he programs in Matlab, ObjC, Caffe, Python and C/C++ and applies deep and reinforcement learning to automate creative workflows. An early Mac game author and former startup founder, he pairs blue-chip product delivery with a curiosity for novel user-centered automation.
10 years of coding experience
29 years of employment as a software developer
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at University of California, BerkeleyNone, Computer Science, None, Computer Science at Santa Clara University
Github Skills (39)
gymnasium9
arcade9
q-learning9
intellij-platform8
deep-reinforcement-learning8
deep-learning8
intellij-plugin8
reinforcement-learning8
machine-learning8
caffe8
intellij7
particle7
pytorch7
jetbrains7
openai6
Programming languages (4)
Github contributions (5)
watts4speed/fast-dqn-caffe
Dec 2015 - Dec 2015
Contributions:21 commits, 13 pushes, 1 branch in 4 days
watts4speed/ARC_DeepLearning
Dec 2024 - Jan 2025
Contributions:2 pushes, 1 branch in 28 days
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