Ivan Bondarenko
Data Analyst
Novosibirsk, Novosibirsk Oblast, Russia
Summary
👤
Senior🎓
Top SchoolIvan Bondarenko is a data analyst and former academic with 12+ years of experience bridging speech-recognition research and practical machine learning for text mining and information retrieval. He holds a master's in Computer Science and completed a Ph.D. theme on segment-holistic speech recognition, authoring 39 papers and teaching AI, software engineering, and neural networks as an assistant professor. Transitioning to industry, he contributed C++ UI framework work for Linux/Tizen at GlobalLogic and since 2014 has driven ML research and data-mining solutions at 2GIS. Comfortable spanning research and production, he combines deep signal-processing expertise with hands-on engineering to translate academic ideas into deployable systems. Colleagues know him for a quiet focus on machine learning and a personal drive that includes a noted fondness for family and ML.
12 years of coding experience
7 years of employment as a software developer
master, Computer Science, master, Computer Science at Donetsk National Technical University
English, Russian
Github Skills (72)
classifier10
phonetics10
crf10
entity10
autoencoder9
intent-classification9
dialog9
dialogue-systems9
elmo9
bayesian9
nlp8
variational-autoencoder8
entity-extraction8
named-entity-recognition8
detector8
Programming languages (2)
Github contributions (5)
bond005/bert_ner
Feb 2019 - Mar 2019
Named entity recognizer based on BERT and CRF
Contributions:38 commits, 2 PRs, 34 pushes in 21 days
nlptransformersnamed-entity-recognitionbertentity
bond005/impartial_text_cls
Mar 2019 - Nov 2019
Text classifier, based on the BERT and a Bayesian neural network, which can train on small labeled texts and doubt its decision.
Contributions:221 commits, 6 PRs, 214 pushes in 7 months
nlpclassifierbertdecisionbayesian-neural-network
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