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.
12 years of coding experience
8 years of employment as a software developer
Brookfield High School
BS, Computer Science and Software Engineering, BS, Computer Science and Software Engineering at Drexel University
Contributions:88 commits, 78 pushes in 7 years 3 months
dotfilesholmanzsh
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Mark Koh - Music Concert Videos Tech Lead, Personalization