Aleksei T
Deep Learning Engineer at Huawei
Nizhny Novgorod, Nizhny Novgorod Oblast, Russia
Summary
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Rockstar🎓
Top SchoolAleksei T is a Deep Learning Engineer with six years of experience specializing in efficient LLM training and fine-tuning, currently driving model-efficiency innovations at Huawei. He has delivered pragmatic memory- and compute-saving techniques—achieving up to 2.5x memory reduction and 2.15x training speedups—and co-authored papers at top venues while mentoring peers through an internal LLM course. A visiting lecturer at the Higher School of Economics, he combines academic rigor with industrial R&D experience including multi-site projects in China and a prior systems-focused internship at Intel. Recognized with multiple performance and innovation awards, he focuses on practical algorithmic optimizations that make large models more deployable in constrained environments.
5 years of coding experience
3 years of employment as a software developer
Master's degree, Applied Mathematics and Computer Science (Data Mining), 8.84, Master's degree, Applied Mathematics and Computer Science (Data Mining), 8.84 at Высшая Школа Экономики
Github Skills (15)
computer-vision10
opencv10
deep-learning10
python10
image-processing10
norm9
kmeans8
modular6
toolchain6
clang5
bazel5
compiler4
llvm4
nlp3
bert2
Programming languages (4)
Github contributions (5)
alexgiving/opencv
Oct 2021 - Aug 2022
Open Source Computer Vision Library
Contributions:2 PRs, 382 pushes, 11 branches in 9 months
pythonvisioncomputer-visionc-plus-plusimage-processing
HabKaffee/ml_tg_bot
Feb 2025 - Mar 2025
Contributions:46 reviews, 11 PRs, 64 pushes in 1 month
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