Summary
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.
11 years of coding experience
9 years of employment as a software developer
Multimedia Technology, Desarrollo de aplicaciones web, HTML5, Javascript, Ruby on Rails, Ember.js, NodeJS, Swift (iOS), Multimedia Technology, Desarrollo de aplicaciones web, HTML5, Javascript, Ruby on Rails, Ember.js, NodeJS, Swift (iOS) at Fachhochschule Salzburg - University of Applied Sciences
Natural Language Processing Nanodegree, Artificial Intelligence, Deep Learning, Machine Learning, Language Processing, Feature Engineering, Natural Language Processing Nanodegree, Artificial Intelligence, Deep Learning, Machine Learning, Language Processing, Feature Engineering at Udacity
Grado, Ingeniería multimedia, Premio Extraordinario de fin de Grado (Highest Honors), Grado, Ingeniería multimedia, Premio Extraordinario de fin de Grado (Highest Honors) at Universidad de Alicante
Spanish, French, English