Daniel Deychakiwsky
Staff Machine Learning Engineer at Spotify
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolDaniel Deychakiwsky is a Staff Machine Learning Engineer based in Austin with 11 years building AI-driven products and a track record of progressively senior ML roles at Spotify and Attentive. He leads Content Intelligence at Spotify, translating research-grade models into production systems that improve discoverability and personalization at scale. His background blends a CS MS focused on AI/ML from Georgia Tech with early experience in software and frontend engineering, giving him strong end-to-end product instincts. Daniel moves fluidly between model development, software engineering, and cross-functional leadership, having repeatedly stepped up within Spotify from software engineer to staff-level ML lead. He favors pragmatic, production-first ML solutions that balance experimentation speed with operational reliability. Outside core ML work, his psychology undergraduate training informs a user-centered approach to content and recommendation problems.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Maryland University CollegeMaster of Science - MS, Computer Science (AI / ML), Master of Science - MS, Computer Science (AI / ML) at Georgia Institute of TechnologyBachelor of Science - BS, Psychology, Bachelor of Science - BS, Psychology at Mount St. Mary's University
English, Ukrainian, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (103)
collaborative-filtering9
matrix-factorization9
mongoose-plugin9
recommender8
batch8
jquery8
recommender-system8
javascript8
recommendation-engine8
streaming8
python8
machine-learning8
webpack8
pytorch8
java8
Programming languages (8)
Github contributions (5)
DanielDeychakiwsky/IntegralAds
Jan 2015 - Apr 2015
Contributions:313 pushes, 9 branches in 3 months
daniel-deychakiwsky/daniel-deychakiwsky.github.io
Aug 2020 - Nov 2022
Deylemma engineering blog
Contributions:128 commits, 36 PRs, 193 pushes in 2 years 2 months
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