Summary
Gabriela Robles is a Staff ML Analytics Engineer at Netflix with nine years of experience building scalable personalization and ML-driven workflows that improve content quality and operational efficiency. She has led productization of GenAI pipelines, end-to-end telemetry, and model observability to measure model quality, user trust, and ROI across creative and product systems. Prior roles at Atlassian and GitHub honed her experimentation, forecasting, and analytics frameworks for developer and marketplace growth, while earlier marketing and product roles grounded her work in user-centered outcomes. Gabriela pairs an MBA with machine learning training from MIT and a multidisciplinary background spanning chemical engineering to international finance, enabling a rare blend of business, measurement, and technical rigor. She is also an active inclusion leader—founding GitHub’s Latinx ERG and driving long-term D&I initiatives that amplified underrepresented voices. Colleagues describe her as a product-minded data scientist who turns complex ML research into reliable production systems that directly influence storytelling and audience engagement.
9 years of coding experience
8 years of employment as a software developer
International Finance IDP Finance and Business Management, International Finance IDP Finance and Business Management at University of California, Berkeley
Master of Business Administration (M.B.A.) Concentration in Data Science, Master of Business Administration (M.B.A.) Concentration in Data Science at University of San Francisco
Bachelor of Engineering (B.Eng.) Chemical Engineering, Bachelor of Engineering (B.Eng.) Chemical Engineering at Universidad Iberoamericana, Ciudad de México
Certificate Program Machine Learning, Certificate Program Machine Learning at Massachusetts Institute of Technology
Certificate on Growth Marketing Marketing/Marketing Management General, Certificate on Growth Marketing Marketing/Marketing Management General at Stanford University
Spanish, English, French