Stas Semeniuta
Deep Learning Researcher at Samsung AI Center
St Petersburg, St Petersburg City, Russia
Summary
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Senior🎓
Top SchoolStas Semeniuta is a Deep Learning Researcher and PhD student with a decade of engineering experience and over five years focused on research, design and development in signal processing, pattern recognition and computer vision. He combines theoretical depth in deep learning with practical skills in multithreaded architectures and distributed systems, having shipped ML solutions at Samsung AI Center, Lyft, IHS Markit and Google. His background spans low-level networking infrastructure work to applied machine learning, enabling him to bridge research prototypes and production deployments. Based in St. Petersburg, he is comfortable operating at the intersection of academic rigor and industry-scale engineering, routinely translating complex models into scalable systems.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Universität zu LübeckMaster's degree, Computer Science, Master's degree, Computer Science at Università degli Studi di TrentoBachelor's degree, Software Engineering, Bachelor's degree, Software Engineering at Belorussian State University Of Informatics and Radioelectronics
Russian, English
Github Skills (67)
model-compression10
exchange10
api10
nas10
autoencoder9
crypto9
variational-autoencoder9
neural-architecture-search9
hyperparameter-tuning9
trading9
feature-engineering9
cryptocurrency9
parameter-tuning9
ethereum9
bitcoin9
Programming languages (3)
Github contributions (5)
ssemeniuta/textvae
Feb 2017 - May 2017
Theano code for experiments in the paper "A Hybrid Convolutional Variational Autoencoder for Text Generation."
Contributions:3 commits, 2 PRs, 3 pushes in 3 months
pytorchnlpautoencodertheanoconvolutional
ssemeniuta/drop-rnn
Mar 2016 - Oct 2016
Contributions:4 commits, 3 pushes, 1 branch in 7 months
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