Alexander Golynski
Software Eng at Google
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolAlexander Golynski is a software engineer based in New York with six years of professional experience and a long-standing affiliation with Google. He holds a Master’s in Mathematics from Lomonosov Moscow State University and has pursued doctoral studies at the University of Waterloo, bringing strong quantitative and research-oriented problem-solving to engineering work. At Google he applies rigorous mathematical thinking to large-scale software challenges, blending theoretical depth with practical implementation. His background suggests strengths in applied math and algorithmic thinking that inform reliable, scalable systems design. Colleagues would find him a technically grounded engineer who leverages academic training to tackle complex engineering problems in production.
6 years of coding experience
Lomonosov Moscow State University345Soviet UnionMoscow highschool #18 im. Kolmogorova (SUNC MGU)PhD, PhD at University of Waterloo
Github Skills (17)
python10
acceleration10
machine-learning10
numpy10
deep-learning10
tensorflow10
gpu10
autograd10
neural-network10
tensor10
gpu-acceleration10
pytorch9
communications7
libtorch3
react3
Programming languages (4)
Github contributions (5)
agolynski/pytorch
Oct 2019 - Jan 2020
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:41 pushes, 4 branches, 1 comment in 2 months
pythongpu-accelerationdeep-learninggpuacceleration
agolynski/gloo
May 2021 - May 2021
Collective communications library with various primitives for multi-machine training.
Contributions:2 pushes, 1 branch in 1 day
communicationstorchmachine-learningneural-networkstraining
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