Ryan Loney
Senior Product Manager at Cerebras Systems
Los Angeles, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRyan Loney is a Senior Product Manager with a decade of experience shaping developer tools and AI infrastructure, currently focused on accelerating model deployment at Cerebras Systems after building profiling and optimization tooling for LLMs at Microsoft MAIA. He has deep domain expertise in AI inference and deployment from his leadership on Intel's OpenVINO product and a history of moving complex hardware-software projects from roadmap to release. Comfortable bridging engineering, product, and go-to-market teams, he blends hands-on technical contributions—such as improving documentation for the popular OpenVINO notebooks—with cross-functional program leadership. Based in Los Angeles, he pairs technical product rigor with a background that spans DevOps, networking, and customer-facing roles, and he’s pursuing further language study in Spanish, signaling a curiosity for cross-cultural collaboration.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS Environmental Science, Bachelor of Science - BS Environmental Science at University of California, DavisUniversidad Nacional Autónoma de México (UNAM)Professional Certificate Data Analytics, Professional Certificate Data Analytics at UC Berkeley Extension
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
inference10
read-me10
openvino10
documentation10
computer-vision9
deep-learning8
deeplearning-ai8
machine-learning7
Programming languages (7)
Github contributions (5)
openvinotoolkit/openvino_notebooks
Mar 2021 - Mar 2022
📚 Jupyter notebook tutorials for OpenVINO™
Role in this project:
Technical Writer
Technical WriterContributions:401 reviews, 31 commits, 111 PRs in 1 year
Contributions summary:Ryan's commits primarily focus on updating and improving the repository's README file. The changes include formatting adjustments, content additions, and the incorporation of helpful resources like GIFs. The user also made specific updates to the installation guide, and added various notes and clarifications. The contributions center around enhancing the documentation and user experience of the repository.
jupyter-notebookopenvinodeep-learningmachine-learningcomputer-vision
ryanloney/dog-pose-estimation
Feb 2021 - Feb 2021
🐕 Fun experiment to train a pose estimation model for dogs using the DeepLabCut toolkit
Contributions:32 commits, 31 pushes, 1 branch in 16 days
pose-estimation
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