Shawn Cochran

Staff Machine Learning Engineer at Netflix

Nashville-Davidson, Tennessee, United States
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Summary

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Senior
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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.
code9 years of coding experience
job16 years of employment as a software developer
bookMaster of Science - MS, Computational Analyitcs, Master of Science - MS, Computational Analyitcs at Georgia Institute of Technology
bookBachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at University of Connecticut
bookMaster's Degree, MBA, Information Systems, Master's Degree, MBA, Information Systems at San Diego State University
languagesEnglish
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Github Skills (7)

apartment6
science4
python3
machine-learning3
data-science2
data-analysis2
pandas2

Programming languages (2)

CSSJupyter Notebook

Github contributions (5)

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scochran3/LazyApartment

Jun 2019 - Jul 2019

Data Science project based around being as lazy as possible when it comes to finding an apartment
Contributions:35 commits, 25 pushes, 1 branch in 1 month
data-analysispythonsciencedata-sciencefinding
scochran3/tv_data

Jun 2019 - Sep 2019

Contributions:53 pushes, 1 branch in 3 months
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