Oleksii Shevchenko

Oleksii Shevchenko

Amsterdam Area
1K followers 500+ connections

About

As a tech professional, I am passionate about the tech industry and have more than a decade of experience in it. Personally, I am open-minded, self-critical, and eager to learn new things. Looking for a new opportunity as an individual contributor or as a tech manager.

Experience

  • Rush sender Graphic

    Rush sender

    Zaandam, North Holland, Netherlands

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    Netherlands

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    Amsterdam Area, Netherlands

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    Amsterdam Area, Netherlands

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    Ukraine

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    Ukraine

  • Company ghost image

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      Ukraine

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      Ukraine

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      Ukraine

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    Ukraine

Publications

  • Textkernel Talks

    1. Introduction
    2. About Textkernel • Founded in 2001, currently 65 employees • R&D spin-off • Natural Language Processing and Machine Learning research groups • Universities of Tilburg, Antwerp and Amsterdam • Specialised in information extraction, web mining and semantic searching & matching in the HR industry
    3. About Textkernel • Founded in 2001, currently 65 employees • R&D spin-off • Natural Language Processing and Machine Learning research groups • Universities of Tilburg, Antwerp…

    1. Introduction
    2. About Textkernel • Founded in 2001, currently 65 employees • R&D spin-off • Natural Language Processing and Machine Learning research groups • Universities of Tilburg, Antwerp and Amsterdam • Specialised in information extraction, web mining and semantic searching & matching in the HR industry
    3. About Textkernel • Founded in 2001, currently 65 employees • R&D spin-off • Natural Language Processing and Machine Learning research groups • Universities of Tilburg, Antwerp and Amsterdam • Specialised in information extraction, web mining and semantic searching & matching in the HR industry • We’re hiring! → http://www.textkernel.com/jobs/
    4. Textkernel Talks • September: Resiliency in Elasticsearch • October: Deep Learning, the recent years • December: Introduction to Graph databases • Ideas? → talks@textkernel.nl
    5. Web Taxonomy Editor An example of Neo4j usage in Textkernel
    6. Your presenter: Alexey Shevchenko • Joined Textkernel in 2015 as PHP developer • Member of Jobfeed team • Participates in Web Taxonomy Editor circle • Has 5+ years in production development • Docker enthusiast
    7. Web Taxonomy Editor • Web service that is designed to edit taxonomies • Taxonomies are stored in Neo4j as an individual trees • Used by customer to improve their companies, professions and skills taxonomies • Planned to be used by Textkernel on our own data
    8. Production stats • 1,114,942 nodes • 1,667,364 relationships • 1.6 Gb storage • 2.4 Gb RAM
    9. Customer’s Graph Overview
    10. TK graph usage - professions
    11. Relations between similar taxonomies
    12. Benefits for using Neo4j for TK Data • Significantly improve quality of Match! service • Significantly reduce amount of work for Data & Quality team
    13. Using Docker in Development
    14. Questions?

    See publication

Projects

  • Vicaption

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    Application based on Electron and native binaries that using face recognition algorithms to provide face changing experience for live streaming services such as Twitch, Hitbox or YouTube gaming.

    Other creators
    See project
  • Jobfeed Website

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    Jobfeed offers you an overview of new job vacancies appearing on the Internet. You can easily search and analyse these job ads by occupation, region, education level and whether an employer or a staffing agency advertised the job.

    Other creators
    See project
  • Web Taxonomy Editor

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    Web-based taxonomy editor. Based on graph database Neo4j it provides ultimate features for managing customer and internal taxonomies, including importing and exporting data in different formats and user management.

    Other creators
  • BubbleBuggie

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    Rewriting backend to node.js.

    Other creators
    See project
  • CtrlP Matcher for VIM

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    Fast CtrlP seatch matcher based on Python for VIM editor. (177+ stars on github.com)

    The reason to develop this plugin was that original CtrlP plugin is tremendously slow on a large projects (300k+ files).

    This plugin improves performance up to x22.

    See project
  • Dating Offers Service

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    Standalone service to generate personal offers for www.cupid.com (it is flexible and support future partners sites) members based on their interests and profile atrributes.

    Other creators
    See project
  • MyLikesBox

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    Ultimate personal content searcher based on your interests etc.

    Other creators
    See project
  • Cupid.com

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    Maintenance and new features for high loaded dating social network.

    Other creators
    See project
  • Joops.com.ua

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    Ukrainian portal for journalists. Write article, search, comment, share.

    Other creators
    See project

Organizations

  • Docker Circle

    Lead

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    Key role is to improve experience with Docker within a Textkernel B.V. employees and introduce / share best practices that will positively affect current infrastructure.

    Example:
    Continuous Integration, Auto-tests, developer environments, Deployments etc.

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