Sergey Nichiporchik, Natural Language Processing (NLP) Developer in Minsk, Belarus
Sergey Nichiporchik

Natural Language Processing (NLP) Developer in Minsk, Belarus

Member since July 22, 2019
Sergey is a data scientist with exemplary skills in software engineering. A solid background in machine learning and computer science allows him to develop solutions for business problems from scratch to production-ready state. Sergey's primary asset is his keen analytical abilities.
Sergey is now available for hire

Portfolio

  • Altoros
    GIS, Kubernetes, Docker, Flask, FastAPI, Neo4j, Keras, TensorFlow, Python
  • Kreo Software
    Amazon Web Services (AWS), MongoDB, React, Amazon Mechanical Turk, AWS, Neo4j...
  • Kinross Research
    JavaScript, Django, Pandas, TensorFlow, Python

Experience

Location

Minsk, Belarus

Availability

Part-time

Preferred Environment

Linux

The most amazing...

...project I've developed is a machine learning system for determining types and physical properties of construction materials in BIM model.

Employment

  • Data Scientist

    2019 - PRESENT
    Altoros
    • Constructed a proof of concept (PoC) for field crop detection and segmentation, tracking crop health status, and detection of natural hazards.
    • Built a PoC for automating PDF processing functions with machine-learning algorithms that detected structural elements, extracted text, tables, graphs, and table of contents (ToC) from documents with a complex layout.
    • Developed microservices for drivers' behavior analysis, route map matching, and trip summary calculation.
    • Created a model for route and destination prediction based on the Hidden Markov Model.
    Technologies: GIS, Kubernetes, Docker, Flask, FastAPI, Neo4j, Keras, TensorFlow, Python
  • Data Scientist

    2017 - 2018
    Kreo Software
    • Developed a set of tools for Amazon Mechanical Turk (MTurk): a framework for publishing tasks, validating work, and selecting and training workers.
    • Supervised several MTurk projects with challenging NLP tasks that required a rigorous screening of workers.
    • Improved the classifier of construction elements in the Uniclass system.
    • Optimized the classifier for production and deployed the trained model.
    Technologies: Amazon Web Services (AWS), MongoDB, React, Amazon Mechanical Turk, AWS, Neo4j, SpaCy, Pandas, C#, JavaScript, Python
  • Data Scientist

    2016 - 2017
    Kinross Research
    • Developed an entity extraction model for extracting dimensions, squares, volumes, ranges, and so on with corresponding units from a textual description of construction elements. I built two versions of the model: a rule-based version and a version based on a recurrent neural network.
    • Created a data-specific PDF table extractor and integrated the extracted data into the knowledge base.
    • Built a web application: a type of annotation tool for labeling data for ML models and for the core project engine.
    Technologies: JavaScript, Django, Pandas, TensorFlow, Python

Experience

  • ECG Analysis (Development)

    While studying in the School of Data Science at Yandex, I participated in a Kaggle competition. The goal was to determine the presence of the disease according to the patient's ECG. Due to the nature of data, it was a great experience in feature engineering. I took fifth place out of 174.

  • Dotfiles (Development)
    https://github.com/SnichOne/dotfiles

    These are my dotfiles along with the installation script to set up a Linux machine.

Skills

  • Languages

    Python, C++, C, SQL, C#, Java, JavaScript
  • Frameworks

    Flask, Django
  • Libraries/APIs

    TensorFlow, SpaCy, Keras, Sklearn, SciPy, Pandas, Matplotlib, React, PyTorch
  • Tools

    Git, RabbitMQ, GIS
  • Paradigms

    CRISP-DM, Agile, Concurrent Programming, Functional Programming, Test-driven Development (TDD), Continuous Delivery (CD), Data Science
  • Other

    Algorithms, Amazon Mechanical Turk, Natural Language Processing (NLP), Machine Learning, Deep Learning, Neural Networks, Statistics, FastAPI, Computer Vision, AWS
  • Platforms

    Linux, Docker, Kubernetes, Amazon Web Services (AWS)
  • Storage

    PostgreSQL, Neo4j, NoSQL, MongoDB

Education

  • Specialist's degree (equivalent to a master's degree) in Computer Security
    2012 - 2017
    Belarusian State University - Minsk, Belarus

Certifications

  • AI from the Data Center to the Edge—An Optimized Path Using Intel® Architecture
    SEPTEMBER 2019 - PRESENT
    Intel Corporation

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