Daniel Popek

Machine Learning Engineer at NeuroSYS
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Contact Information
us****@****om
(386) 825-5501
Location
Wroclaw Metropolitan Area, PL
Languages
  • Polish Native or bilingual proficiency
  • English Professional working proficiency
  • German Limited working proficiency

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Bio

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Experience

    • Poland
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Aug 2020 - Present

      Highlights: - Applying machine and deep learning algorithms to various NLP and Computer Vision tasks - Developing asynchronous data pipelines - Search engines boosting using Deep Learning - Applying SOTA Object Detection algorithms - Question Answering, semantic linking, recommendation, NER, tagging - Research of state-of-the-art NLP models - Integration of ML solutions with products Highlights: - Applying machine and deep learning algorithms to various NLP and Computer Vision tasks - Developing asynchronous data pipelines - Search engines boosting using Deep Learning - Applying SOTA Object Detection algorithms - Question Answering, semantic linking, recommendation, NER, tagging - Research of state-of-the-art NLP models - Integration of ML solutions with products

    • France
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Software engineer/ Working student
      • Dec 2017 - Dec 2019

      I majored in web applications development, mainly Java-stack backend and Angular frontend in projects related to automotive sector and virtual reality.Highlights:- Spring Boot, Angular, Apache Camel, Devon- microservices, data integration, databases - JUnit, Mockito tests- agile development: Scrum, JIRA, CI - international projects for BMW, Volkswagen, Continental

    • Java Intern
      • Jul 2017 - Dec 2017

      I started my internship at Capgemini in 2017 as Java developer working on a chatbot projectHighlights:- IBM Watson - Java stack, RESTful applications, Git- Node.js, JavaScript, HTML, CSS

Education

  • Politechnika Wrocławska
    Master's degree, Data Science, (grade on diploma 5.5 out of 5.5)
    2019 - 2020
  • Politechnika Wrocławska
    Engineer's degree, Computer Science, (grade on diploma 5.5 out of 5.5)
    2015 - 2019

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