Uladzislau Astrashab is a Senior Data Scientist with eight years of experience, currently at EPAM Systems where he progressed from junior to senior roles while focusing on ML engineering and MLOps. He is a T-shaped generalist comfortable moving between model research, production deployment, and robust engineering practices, with formal training from MADE and a strong academic record from BSUIR (GPA 9.7/10). His background includes advanced topics like Bayesian methods, RL, GANs and regularization techniques from a University of Genoa summer school, which informs pragmatic solutions for complex ML problems. Based in Minsk, he pairs rigorous mathematical foundations (MITx coursework) with hands-on mentorship experience, and his GitHub bio hints at a creative, long-term thinker who treats engineering as a continuous journey.
7 years of coding experience
4 years of employment as a software developer
Information Technology, GPA: 9.7 out of 10, Information Technology, GPA: 9.7 out of 10 at Belarusian State University of Informatics and Radioelectronics
Summer School: Regularization Methods for Machine Learning, Artificial Intelligence, Summer School: Regularization Methods for Machine Learning, Artificial Intelligence at University of Genoa
Contributions:2 PRs, 20 pushes, 4 branches in 1 month
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