Anton Loukianov is a Staff Machine Learning Engineer with 14 years of experience turning cutting-edge research into production-grade, scalable systems, currently at Meta after leading ML and infrastructure at Unlearn.AI. He combines deep expertise in AI, statistics, applied linear algebra and optimization with domain experience in clinical trials and synthetic data generation, having coauthored state-of-the-art models for Alzheimer’s and Huntington’s disease tied to multi‑million dollar contracts. Known for building engineering culture and reproducible ML platforms, he has architected data storage and training pipelines handling ~100K assets and ~1M experiments. His background in experimental physics and biophysics informs a pragmatic approach to efficient approximations (Gaussian Processes, structured sparsity) and rigorous evaluation. Colleagues rely on him to bridge novel model design with hardened deployment practices, including compliance and air‑gapped environments.
14 years of coding experience
14 years of employment as a software developer
The University of Arizona
Doctor of Philosophy - PhD Biophysics, Doctor of Philosophy - PhD Biophysics at University of Michigan
Python wrapper for the Cubature algorithm explained in: http://ab-initio.mit.edu/wiki/index.php/Cubature
Contributions:35 commits, 3 PRs, 7 pushes in 5 months
ab-initiopythonexplainedindexpython-wrapper
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Anton Loukianov - Staff Machine Learning Engineer at Meta