Mark Koh

Music Concert Videos Tech Lead, Personalization

Denver, Colorado, United States
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Summary

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Rockstar
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Top School
Mark Koh is a music-focused ML/Backend/Data engineering lead with 12 years of experience building large-scale recommendation systems and media products at Spotify, currently driving Music and Concert Videos personalization. He blends deep technical chops—from kernel and database development to production ML pipelines and search engines—with hands-on product experience as a co-founder of a touring platform and a freelance concert photographer. At Spotify he’s shipped core features like Discover Weekly and Release Radar, led hiring practices used across the company, and now architects systems that surface live and studio performances to listeners. His Drexel background in AI, algorithms, and music technology shows through in projects such as automated concert video stitching, revealing a rare mix of audio-savvy engineering and creative instincts. Based in Denver, he excels at translating musician-centric problems into scalable data-driven solutions.
code13 years of coding experience
job8 years of employment as a software developer
bookBrookfield High School
bookBS, Computer Science and Software Engineering, BS, Computer Science and Software Engineering at Drexel University
languagesspanish (some)
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Stackoverflow

Stats
1reputation
0reached
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0questions
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Github Skills (70)

python10
linter10
django10
java10
hnswlib10
static-typing10
approximate-nearest-neighbor-search10
typechecker10
nearest-neighbor-search10
crud9
swift9
spotify9
objective-c9
machine-learning9
orm9

Programming languages (10)

TypeScriptC++JavaScriptRAMLGoObjective-CSwiftPython

Github contributions (5)

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projectjamjar/lilo

Nov 2015 - Oct 2018

Contributions:1 PR, 12 pushes, 3 branches in 2 years 11 months
pythonrecognitionaudiofingerprintingaudio-fingerprinting
A starter pack for using the Spotify Web API in Python
Contributions:24 commits, 3 PRs, 30 pushes in 1 year 9 months
pythonspotify
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