Ryan Weber
Head Of Research at Hive
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRyan Weber is Head of Research based in San Francisco with 12 years of experience specializing in machine learning research and production-scale model deployment. He leads research efforts at Hive, where he combines daily paper reading and rapid prototyping with engineering rigor to take experimental models into production. Comfortable across the ML lifecycle, he has hands-on experience implementing novel ideas, improving model tooling, and refining data pipelines. His open-source work includes practical deep-learning projects such as a video classification and editing tool that tackled real-world media handling and tagging challenges. With a master's in computer science from UC Santa Cruz, he pairs academic grounding with a clear focus on shipping robust, scalable ML systems.
12 years of coding experience
University of California Santa Cruz
Github Skills (8)
video-processing10
computer-vision10
machine-learning10
caffe10
deep-learning10
ffmpeg10
python10
image-processing9
Programming languages (3)
Github contributions (5)
ryanjay0/miles-deep
Nov 2016 - Mar 2018
Deep Learning Porn Video Classifier/Editor with Caffe
Role in this project:
ML Engineer
ML EngineerContributions:4 releases, 32 commits, 1 PR in 1 year 4 months
Contributions summary:Ryan primarily contributed to the development and refinement of a deep learning-based porn video classifier and editor. Their commits focused on enhancing the functionality of the movie cutting and tagging features, including adding an auto-tag feature. They also addressed issues related to WMV file handling and improved code organization. Additionally, the user worked on improving the user interface and added an option to keep individual cuts.
classifierdeep-learningmachine-learningcaffedeep-neural-networks
anlarke/MovieExplorer
Jan 2014 - Sep 2016
Contributions:2 releases, 127 commits, 9 PRs in 2 years 8 months
storedmovieswindows
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