Cristóbal Valenzuela

Co-founder CEO at Runway

New York, New York, United States
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Summary

🤩
Rockstar
🎓
Top School
Cristóbal Valenzuela is the co-founder and CEO of Runway, a New York–based company building generative AI tools for creative video workflows, with nine years of experience bridging research and product. He previously researched at NYU/ITP and studied at Universidad Adolfo Ibáñez and NYU ITP. He remains deeply technical and an active open-source contributor—helping evolve ml5.js by refactoring LSTM implementations to the modern Keras layers API, adding stateful parameter support, and updating style-transfer and p5.js examples. That blend of CEO-level product leadership and hands-on model and tooling work gives him rare fluency across ML research, developer ecosystems, and product execution.
code9 years of coding experience
job1 year of employment as a software developer
bookITP, ITP at New York University
bookUniversidad Adolfo Ibáñez
languagesSpanish, English
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Github Skills (13)

tensorflow210
machine-learning10
lstm10
javascript10
javascripts10
tensorflow10
p5-js10
neural-networks9
keras9
front-end-development8
apim7
api7
mobilenet6

Programming languages (15)

C#JavaC++MaxMakefileHTMLJupyter NotebookProcessing

Github contributions (5)

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ml5js/ml5-library

Oct 2017 - Nov 2018

Friendly machine learning for the web! 🤖
Role in this project:
userML Engineer
Contributions:529 commits, 72 PRs, 149 pushes in 1 year 1 month
Contributions summary:Cristóbal updated the LSTM example in the repository, modifying the implementation to use the new keras (layers) API, which involves architecture updates. The user also made changes related to the model's underlying structure, the state management, and the generation process, indicating a focus on improving the model's performance and functionality. The user further included a means to pass in the stateful parameters to the LSTM as well as code refactoring, for example, removing the need to define the cells and related method, and simplifying the sampling step.
imagenetdeep-learninglstmjavascriptp5xjs
ml5js/ml5-examples

Mar 2018 - Nov 2018

A collection of ml5.js examples
Role in this project:
userFull-stack Developer
Contributions:166 commits, 33 PRs, 38 pushes in 8 months
Contributions summary:Cristóbal made several commits updating examples within the ml5.js library, reflecting changes to the API and the integration of new functionalities. The modifications involved adjustments to how images and text are handled within the p5.js library and the removal of a neural network example due to its incompatibility with the current library version. These commits also include code updates to manage DOM elements for the Style Transfer examples and a switch to utilize CDN for the library's functionalities.
ml5machine-learningattribution
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