🤵 Personal Information

email: Ihar.Nestsiarenia@gmail.com

linkedin: https://www.linkedin.com/in/nesterione/

📊 Summary

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.

🔨 Working Experience

2021 — now: Lead Machine Learning Engineer / MLOps (EPAM Systems)

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.

• Implemented MLOps practices to accelerate development and maintain data, code, models, and documentation.
• Improved ML development process with criteria, goals, metrics, and a metrics framework.
• Led a hackathon team to runner-up prizes and implemented ideas to enhance the product.

Technologies: Tensorflow, Keras, scikit-learn, spaCy, BM25, word2vec, Solr, DVC, Sagemaker, Python, Docker

2020 — 2021: Lead Machine Learning Engineer / AI Architect (EPAM Systems)

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.

• Streamlined R&D work in data science and transitioned from research to production.
• Enhanced performance of the pdf layout recognition pipeline and organized data versioning and experiment management.
• Implemented and automated data labeling, data quality, and reporting process.

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

2019 — 2020: Lead Machine Learning Engineer / Search Engineer (EPAM Systems)

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.

• Developed POC for business validation and implemented core service architecture.
• Implemented NER algorithm, optimized for millions of documents.
• Improved model performance and designed API for analytics service.
• Created prototype for vector-based search at scale using Annoy library.

Technologies: flask, python, java, docker, AWS, TensorFlow projector, MLFlow, git, jira, solr, keras, stanfordnlp, gensim, sklearn, word2vec, BPE embeddings, fasttext, solr, elasticsearch

2018 — 2019: Senior Machine Learning Engineer at R&D Team (EPAM Systems)

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.

• Successfully delivered a POC for unsupervised topical extraction for Legal Jurisprudence using LDA and clustering algorithms.
• As the first member of the AI team, I helped to establish the AI delivery pipeline to production and was instrumental in hiring additional AI engineers.

Technologies: Tensorflow, Keras, scikit-learn, bigARTM, NLTK, spaCy, Fasttext, BM25, word2vec, gensim, Matplotlib, Jupyter Notebook, Node.js, Java, XSLT, and Elasticsearch

2016 — 2018: Senior Software Engineer / Data Engineer (EPAM Systems)

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.

• Addressed peak load issues by integrating message brokers as middleware between services.
• Enhanced delivery quality through the integration of linters, static scanners, and configuring Sonar Cube.
• Recognized with a company award as a “Rising Star” for dedication and focus on process improvement.

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.

🧑🏻‍🏫 2018 — 2019: Senior Teacher of Information Technologies Department — GSTU by P. Sukhoi

🧑🏻‍🏫 2015 — 2016: Senior Instructor (Java) — Educational Center “IT Class”

🧑🏻‍🏫 2014 — 2016: Assistant of Information Technologies Department - GSTU by P. Sukhoi

🎓 Education

• 👦🏻 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

🧭 Other activities

• 🚀 Product Launching
  • Experienced in driving and leading pet-projects, assembling and managing teams, developing prototypes, and successfully acquiring users. Skilled in conducting user research, and implementing strategies to attract and engage users.
• 📢 Driving Communities
  • Then I joined the DataZen community and have taken on a leadership role in managing the community’s news stream using ML algorithms to prepare digests.
• 🦉 Advising and Mentoring
  • I am a seasoned trainer and advisor with experience in a variety of disciplines including Java, Python, and Machine Learning. I have also been actively involved in mentoring activities, providing guidance and direction to individuals and teams.

  last update: March 1, 2023

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