Anton Kazennikov is an NLP Team Lead and PhD in Computer Science with 18 years of software engineering experience and over 9 years focused on building production NLP and search systems on the JVM. He currently leads search-oriented document and query analysis at OZON, designing Lucene/Elasticsearch pipelines, NER, and query analysis, and previously built large-scale corpus and rule-based IE systems (GATE/JAPE/UIMA Ruta) for multilingual use. Comfortable across Java and Python, he combines hands-on backend engineering (indexing, custom query types, performance tuning) with applied ML and CV expertise including faiss, word2vec/fastText, and PyTorch. A longtime contributor to prominent open-source projects like jsoup, he blends research rigor (Google Scholar presence) with pragmatic delivery of scalable IR and NLP pipelines. Notably, he has a track record of porting and optimizing legacy NLP systems into modern JVM architectures and building bespoke rule engines for real-world address, location and fact extraction.
18 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Natural Language Processing, Doctor of Philosophy (Ph.D.), Natural Language Processing at Moscow State Institute of Radio Engineering, Electronics and Automation (Technical University)
jsoup: the Java HTML parser, built for HTML editing, cleaning, scraping, and XSS safety.
Role in this project:
Backend Developer
Contributions:54 commits, 1 issue in 9 days
Contributions summary:Anton primarily contributed to the development of the Java HTML parser jsoup, focusing on the implementation and modification of selectors. They added new selector types, implemented the :has selector, and fixed bugs related to selector behavior. Furthermore, the user refactored the evaluator and selector code, improving the codebase and adding tests.
Contributions:60 commits, 4 pushes in 4 years 9 months
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