Prohor Gladkikh

Data Science Team Lead

Moscow, Moscow, Russia
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Summary

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Senior
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Top School
Prohor Gladkikh is a Data Science Team Lead with 12 years in software engineering and over 4 years specializing in ML/NLP, currently leading data science at Yandex after roles at SberDevices and Sberbank. He built a document-processing competence center from scratch and pioneered AutoNER, a PyTorch-based DL framework now adopted across 10+ teams within Sber and supported by an active community. Prohor combines production-grade engineering—evidenced by a x300 speed-up of Spark ML workloads—with research into continual, active and meta-learning for NER. He holds a master’s from MIPT and has a habit of shipping small cross-platform apps and a kids’ game, reflecting broad curiosity beyond core ML. Colleagues know him for translating cutting-edge models (BERT/Longformer/ALBERT) into scalable, client-facing solutions and for driving low-code ML-ops integrations.
code12 years of coding experience
job12 years of employment as a software developer
bookMaster's degree Applied Mathematics and Physics, Master's degree Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
languagesАнглийский, Русский
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Github Skills (69)

python10
deep-learning10
nlp10
natural-language-processing10
pytorch10
machine-learning10
ekg9
transformer9
computer-vision9
image-processing9
transformers9
language-model9
bert9
speech-recognition9
tensorflow9

Programming languages (4)

C++JavaScriptJupyter NotebookPython

Github contributions (5)

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prohor33/cv-site

Aug 2015 - Nov 2018

Contributions:45 pushes, 1 branch, 2 issues in 3 years 3 months
prohor33/ndk-asteroids

Sep 2013 - Oct 2014

Contributions:52 commits in 1 year 1 month
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