Polina Zablotskaia
Research Software Engineer at Google DeepMind
Zürich Metropolitan Area Switzerland
Summary
👤
Senior🎓
Top SchoolPolina Zablotskaia is a Research Software Engineer with a decade of experience building and evaluating NLP and computer vision systems, currently focusing on optimization and robustness of large language models at Google DeepMind. She previously worked on trustworthiness, explainability, and factuality for Google Brain, bringing research rigour from roles at Vector Institute and UBC into production-facing model improvements. Her background spans internships and research across industry and academia—from Translate dual-encoder work to unsupervised video scene decomposition—giving her a strong cross-modal perspective. Polina combines systems-level engineering with experimental ML research, frequently bridging prototype research and scalable implementations. Based in Zürich, she is skilled at turning complex algorithmic ideas into efficient code and practical evaluations. An early interest in verification and efficient algorithms (from EPFL work on SAT-based expansion) underpins her focus on robust, efficient model behavior.
10 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at The University of British ColumbiaBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Peter the Great St.Petersburg Polytechnic University
Github Skills (17)
flexibility9
decomposition8
probabilistic7
deep-learning7
jax7
neural-network6
computer-graphics5
pytorch4
computer-vision4
game-theory3
flax2
theory2
evolutionary2
python2
discovery2
Programming languages (3)
Github contributions (5)
BorealisAI/PROVIDE
Jun 2020 - Jun 2021
PROVIDE: A Probabilistic Framework for Unsupervised Video Decomposition (UAI 2021)
Contributions:6 commits, 1 PR, 5 pushes in 11 months
pytorchdecompositiondeep-learningunsuperviseduai
zpolina/dwnet
Sep 2019 - Jul 2020
Contributions:6 commits, 5 pushes, 1 branch in 9 months
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