Timothy Heath

Machine Learning Engineer at Spotify

New York, New York, United States
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Summary

👤
Senior
🎓
Top School
Timothy Heath is a machine learning engineer with 13 years of experience building production ML systems and data pipelines, currently applying his expertise at Spotify. He blends deep academic training—a PhD in Mathematics and a BS in Mathematics & Statistics—with practical engineering leadership from roles at eBay where he led teams improving search ranking and personalized recommendations. Comfortable across Scala, Python, Java, distributed compute and low-latency caches, he moves models from research to real-time, contextualized results. A five-time hackathon winner and open-source enthusiast, he brings a pragmatic, metrics-driven approach to designing scalable algorithms and pipelines. Based in New York, he pairs strong technical mentorship with a proven track record of shipping impactful, product-facing ML features.
code13 years of coding experience
job5 years of employment as a software developer
bookBachelor of Science (BS), Mathematics and Statistics, 3.951, Bachelor of Science (BS), Mathematics and Statistics, 3.951 at University of Michigan
bookDoctor of Philosophy (PhD), Mathematics, 4.0, Doctor of Philosophy (PhD), Mathematics, 4.0 at Columbia University in the City of New York
languagesEnglish
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Github Skills (11)

coinmarketcap3
wordpress3
wordpress-plugin2
currency2
exchange2
coingecko2
google2
finance1
bitcoin1
cryptocurrency1
crypto1

Programming languages (2)

JavaScriptPHP

Github contributions (5)

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wheath/jsrule-engine

Oct 2012 - Feb 2014

Contributions:71 commits, 1 push in 1 year 4 months
wheath/paperlab

Mar 2020 - Dec 2022

Contributions:1 push, 1 branch in 2 years 9 months
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Timothy Heath - Machine Learning Engineer at Spotify