Alexander Demidovskij
Associate Professor
Nizhny Novgorod, Nizhny Novgorod Oblast, Russia
Summary
🤩
Rockstar🎓
Top SchoolAlexander Demidovskij is an Associate Professor and Principal Engineer with 11 years of experience at the intersection of applied machine learning and software engineering. He leads teams and research efforts at Huawei focused on accelerating CNN training and LLM fine-tuning, while teaching advanced courses in computer vision, NLP, and data mining to large online Master’s cohorts at HSE. His background includes building tools for model optimization and inference at Intel (OpenVINO, Deep Learning Workbench) and a PhD in Computer Science from HSE, blending production-grade engineering with academic rigor. He has a track record of shipping quantization-aware training and localized learning techniques for fine-tuning, plus several publications and conference talks that bridge theory and practice. Known for translating research into deployable tooling and curricula, he combines hands-on systems work with scalable teaching—training over a thousand students via Coursera and SmartLMS.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Высшая Школа Экономики
Русский, Английский
Github Skills (112)
expressjs10
mxnet10
diffusion-models10
statistic10
tensorflow-lite10
deep-learning10
cudnn10
caffe10
onnx10
numpy10
darknet10
ai10
neural-network10
computer-vision10
nlp10
Programming languages (9)
Github contributions (5)
fipl-hse/2022-2-level-ctlr
Mar 2023 - Sep 2023
Contributions:143 reviews, 63 PRs, 85 pushes in 6 months
fipl-hse/2020-2-level-ctlr
Feb 2021 - Apr 2021
Contributions:88 reviews, 16 PRs, 23 pushes in 1 month
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