Pablo Pernías

Research Manager at Runway

Palo Alto, California, United States
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Summary

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Pablo Pernías is a machine learning researcher and engineer with 11 years of hands-on software experience, currently a Member of Technical Staff at Runway after leading Control & Personalization research at Luma and authoring Stable Cascade at Stability AI. He combines deep research in computer vision, NLP, generative models and reinforcement learning with strong software foundations from a career spanning full‑stack JavaScript, Android (Java/Kotlin) and production ML systems. Pablo has shipped applied ML across consumer and media products at Disney and Cookpad, contributing to patentable solutions for multimedia metadata, semantic segmentation and image effects. A lifelong coder who built games and homebrew apps as a child, he brings rare product empathy to research work—translating state‑of‑the‑art models into robust, test‑driven features for distributed teams.
code11 years of coding experience
job10 years of employment as a software developer
bookGrado Ingeniería multimedia, Grado Ingeniería multimedia at Universitat d'Alacant
bookNatural Language Processing Nanodegree Artificial Intelligence, Natural Language Processing Nanodegree Artificial Intelligence at Udacity
bookMultimedia Technology Desarrollo de aplicaciones web, Multimedia Technology Desarrollo de aplicaciones web at Fachhochschule Salzburg
languagesSpanish, French, English
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Stackoverflow

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Github Skills (115)

diffusion-models10
deep-learning10
image-generation10
audio10
diffusers10
text2image10
crop-image10
flux10
pytorch10
stable-diffusion10
python9
onesignal9
attention-mechanism9
machine-learning9
updating9

Programming languages (10)

C#TypeScriptJavaCoffeeScriptC++JavaScriptGroovyJupyter Notebook

Github contributions (5)

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Contributions:15 commits, 23 pushes, 1 branch in 9 months
pabloppp/Arroz-Con-Cosas

Nov 2022 - Jan 2023

Experimental LDM uses of Paella's architecture
Contributions:23 commits, 21 pushes, 1 comment in 1 month
ldmarchitecturepaella
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