Experienced machine learning engineer with over 8 years of industry experience, specializing in NLP and related technologies. Proven track record of successfully leading and delivering ML projects from R&D to production. Skilled in transitioning models from research to production, building search systems, and improving relevancy. Strong expertise in MLOps, with proficiency in AWS Sagemaker, DVC, MLFlow, and AI architecture. Currently seeking Tech Lead positions.
Summary: Responsible for utilizing AI to address challenges faced by legal professionals, including designing and implementing search algorithms, developing metrics, establishing pipelines, and automating tasks. Integrated SageMaker, streamlined development process with pipelines, and improved delivery with MLOps practices.
Technologies: Tensorflow, Keras, scikit-learn, spaCy, BM25, word2vec, Solr, DVC, Sagemaker, Python, Docker
Summary: Played a crucial role in designing and implementing document processing services for a case-management system for lawyers. Conducted R&D, prototyping, and implemented machine learning models and metrics to ensure accuracy and performance.
Technologies: flair, spacy, huggingfaces, nlpaug, sklearn, flask, python, docker, pytorch, AWS Step Functions, AWS SQS, git, DVC, s3, scrum, kanban, jira, tesseract, ABBYY finereader, elasticsearch
Summary: Worked on ML algorithms, ETL pipelines, model deployment, and result analysis for a legal tech product targeting EU markets. Collaborated with business stakeholders to implement ranking algorithms, language models, and various NLP models.
Technologies: flask, python, java, docker, AWS, TensorFlow projector, MLFlow, git, jira, solr, keras, stanfordnlp, gensim, sklearn, word2vec, BPE embeddings, fasttext, solr, elasticsearch
Summary: Involved in AI-related projects and POCs, including deep learning, topic modeling, document classification, and knowledge management. Responsible for deploying and integrating models in production.
Technologies: Tensorflow, Keras, scikit-learn, bigARTM, NLTK, spaCy, Fasttext, BM25, word2vec, gensim, Matplotlib, Jupyter Notebook, Node.js, Java, XSLT, and Elasticsearch
Summary: Assisted in the migration of a backend research platform for lawyers, focusing on improving accessibility and searchability. Responsible for batch processing of content and metadata, as well as delivering content to the search engine.
Technologies: Elasticsearch, graph databases, Semantic Web, RDF/OWL, SPARQL Jena-TDB, JBoss Fuse, Tomcat, Apache Fuseki, ELK, Kibana, Sonar, FindBugs, PMD, Checkstyle, Winscp, Bamboo CI, Git, JIRA, Maven, Ant, Linux, Cron, Java 7, Java EE, ActiveMQ, Spring 3, REST, SOAP, Tomcat, JBoss Fuse, Jena, XSLT, RDF, XML, XPath, Semantic Web, JUnit, Cucumber, Camel, Blueprint, Log4J, Lombok.
👦🏻 2014 — 2016: Master of Science of Sukhoi state technical university of Gomel
Department: Mathematical modeling, numerical methods and program complexes
👦🏻 2014 — 2016: Master of Science of Saint Petersburg National Research University of Information Technologies, Mechanics and Optics - ЛИМТУ (при НИУ ИТМО)
Department: Computer Engineering and Design
👶🏻 2009 — 2014: Bachelor of Sukhoi State Technical University of Gomel
Department: Information Technology
last update: March 1, 2023