Christopher Tensmeyer
Research Scientist at Adobe
Columbia, Maryland, United States
Summary
👤
Senior🎓
Top SchoolChristopher Tensmeyer is a research scientist at Adobe Research’s Document Intelligence Lab with 13 years of experience applying deep learning to document image analysis. He earned a PhD from BYU focused on OCR, layout understanding, and table analysis, and he consistently bridges academic publications with shipped product features. At Adobe he develops methods that turn cutting-edge research into practical document intelligence capabilities and mentors interns each summer. While his core expertise is document-centric computer vision, he maintains a broad interest in general CV problems and systems that make research reproducible and production-ready. Based in Columbia, Maryland, he blends rigorous academic training with hands-on engineering to move novel algorithms from paper to product. A less obvious strength is his sustained commitment to mentoring and translating intern projects into real-world features.
13 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Brigham Young University
Github Skills (25)
caffe10
pytorch9
machine-learning9
deep-learning9
object-detection6
crf6
eigen6
tensorrt6
generative-adversarial-network6
handwriting5
computer-vision5
ncnn5
anchor5
web-application5
connected4
Programming languages (3)
Github contributions (5)
ctensmeyer/caffe
Jun 2015 - Mar 2018
Contributions:1 release, 315 commits, 220 pushes in 2 years 9 months
deep-learningpytorchcaffemachine-learning
ctensmeyer/pagenet
Sep 2017 - Dec 2018
Contributions:19 commits, 17 pushes, 1 branch in 1 year 3 months
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