Summary
Artur Abdullin is a Principal Data Scientist in Seattle with 20+ years in analytics, ML, and AI and over a decade of hands-on industry experience driving product and infrastructure decisions. At Meta he leads full-stack analytics for cross-platform audio/video calling across Messenger, Instagram, Portal, Facebook and Oculus, specializing in 0-to-1 technology and launch-stage product measurement. His background spans high-impact personalization and recommendation work (e.g., a 46% lift in purchase response at LivingSocial), rapid large-scale model training and model management (2000x speedups at Resonate), and academic research in heterogeneous data clustering from a PhD in Computer Engineering and CS. Artur combines deep research rigor with product-focused experimentation, regularly translating noisy, high-dimensional data into measurable revenue and quality gains. He is comfortable across the stack—from model development and deployment to building tooling and experiments that let teams iterate faster. Less obvious: he has repeatedly optimized model pipelines to enable orders-of-magnitude faster experimentation, turning theoretical gains into operational advantage.
11 years of coding experience
12 years of employment as a software developer
PhD Computer Engineering and Computer Science, PhD Computer Engineering and Computer Science at University of Louisville
MS Physics, MS Physics at Perm State University
English, Russian