Shawn Cochran is a Staff Machine Learning Engineer with nearly a decade of experience building end-to-end data and ML products at scale, currently leading Generative AI efforts in localization at Netflix. He combines full-stack engineering with hands-on ML work—fine-tuning models, deploying production systems, and designing robust feedback loops fed by real-world annotations. His background spans building data pipelines (Airflow, Luigi, Apache Beam), custom visualizations (D3, Django), and cloud-native deployments on AWS and GCP, honed across roles at Spotify, Skyscanner, and Netflix. Notably, he developed an in-house evaluation tool for generative models that became a standard at his team, reflecting a focus on practical, measurable impact. With advanced degrees in computational analytics and information systems and a history in engineering roles outside software, he brings cross-disciplinary rigor and product-minded systems thinking to ML problems.
9 years of coding experience
16 years of employment as a software developer
Master of Science - MS, Computational Analyitcs, Master of Science - MS, Computational Analyitcs at Georgia Institute of Technology
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at University of Connecticut
Master's Degree, MBA, Information Systems, Master's Degree, MBA, Information Systems at San Diego State University
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