Daniel Kohlsdorf is a Staff Data Scientist based in Bremen with a decade of experience building production ML systems for logistics, e-commerce, and social platforms. He blends industry-grade expertise from roles at Hive, Meta, Shopify and XING with academic depth from a PhD in Computer Science at Georgia Tech, specializing in time series and audio data mining. Daniel is comfortable taking models from research to scale—working on audience targeting, recommender systems, and email marketing—while also maintaining a long-term research thread in unsupervised machine learning for dolphin acoustic communication. His background spans recommender and web mining, wearable computing, and deep learning, enabling cross-domain solutions that balance analytics, modeling and software engineering. Notably, he sustains parallel research work with the Wild Dolphin Project, applying production ML techniques to biologically driven audio datasets. Colleagues describe him as a pragmatic scientist who navigates both experimental research and high-impact product delivery.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Georgia Institute of Technology
Diplom Computer Science, Diplom Computer Science at University of Bremen
Contributions:22 releases, 1292 commits, 90 PRs in 3 years 3 months
dolphinspythongcloudsciencedata-science
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.