Jon Johnson
Senior Software Engineer at Luminate
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolJon Johnson is a Senior Software Engineer based in Los Angeles with seven years of experience building data-driven systems for the media and advertising industries. He blends a music-rights background with strong engineering skills—Python, AWS, Docker, Spark, Airflow and Postgres—to migrate legacy platforms, build ETL pipelines, and stabilize production data services. At Nielsen he moved monolithic Oracle/cron workflows to scalable Airflow + RDS architectures and contributed front-end ML features earlier in his tenure. His projects include SongIndex, a scikit-learn cosine-similarity recommender that showcases his knack for turning messy metadata into useful product features. Colleagues rely on him to surface the small, high-impact data issues that often derail operations, and he documents datasets and quality checks to keep teams aligned. He’s equally comfortable debugging production logs as he is translating complex rights and royalties nuance into actionable engineering requirements.
7 years of coding experience
7 years of employment as a software developer
Data Science Immersive, Data Science Immersive at General AssemblyBA, Music Business, BA, Music Business at McNally Smith College of Music
Github Skills (16)
relation9
driver9
dbus8
gnu8
recommender7
expressions7
linux7
daemon7
python6
recommender-system5
theano5
mathematical5
machine-learning4
mathematical-expressions3
math3
Programming languages (4)
Github contributions (5)
jonjohnsontc/swg-website
Jul 2020 - Sep 2021
Website and associated components for songwriter-graph
Contributions:54 PRs, 73 pushes, 39 branches in 1 year 1 month
reactgraph
jonjohnsontc/songwriter-graph
Oct 2018 - Jul 2021
A recommender system designed to compare how songwriters write in relation to one another
Contributions:166 commits, 10 PRs, 120 pushes in 2 years 10 months
relationrecommendermachine-learningrecommender-system
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