Joanna Waczyńska

Machine Learning Researcher at CLARIN ERIC
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Contact Information
us****@****om
(386) 825-5501
Location
Wroclaw Metropolitan Area, PL

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Experience

    • Netherlands
    • Research
    • 1 - 100 Employee
    • Machine Learning Researcher
      • Oct 2022 - Present

      Mainly responsibilities: - Research on heterogeneous graphs in the context of natural language processing. Mainly responsibilities: - Research on heterogeneous graphs in the context of natural language processing.

    • Switzerland
    • Research Services
    • 700 & Above Employee
    • Intern Technical Student
      • Mar 2020 - May 2021

      Working in this place was a pleasure. The objective of the project (NOTED) was to build a AI based framework to increase the efficient utilization of available network bandwidth via SDN (Software Defined Networks), by understanding how the data transfers of Large Hadron Collider data are organized and executed. Two papers are the result of collaboration with many wonderful people. Please find them under the links: EPJ Web of Conferences 251, 02050 (2021) https://doi.org/10.1051/epjconf/202125102050 EPJ Web of Conferences 251, 02049 (2021) https://doi.org/10.1051/epjconf/202125102049 Additionally, the project was presented at several international meetings / conferences / workshops : - The 2nd Global Research Workshop (20-24.09.2021) ”AI/ML/DL Response: Network Optimized Transfer for Experimental Data (NOTED)“ - 9th International Conference "Distributed Computing and Grid Technologies in Science and Education" (GRID'2021) (05-09.07.2021) “Intelligent Networks: using convolutional LSTM models to estimate network traffic” - 25th International Conference on Computing in High-Energy and Nuclear Physics (17-21.05.2021) I presented talk "Convolutional LSTM models to estimate network traffic” and I have been co-author “NOTED: a framework to optimise network traffic via the analysis of data from File Transfer Services” - LHCOPN/LHCONE meeting #46 - Virtual Meeting (24.03.2021) “Understanding network traffic via the analysis of data from File Transfer Service” - HEPiX Autumn 2020 Online workshop (12–16.10.2020) NOTED - identification of data transfer in FTS to understand network traffic.“ - LHCOPN/LHCONE meeting #45 - Virtual Meeting (17.09.2020) “NOTED Network Optimized Transfer of Experimental Data - update” Show less

    • Banking
    • 700 & Above Employee
    • Specialist Dev Engineer
      • Sep 2019 - Feb 2020

      Mainly responsibilities:- Programming small programs using C # (Rest Api, Web-Client and Selenium) to simulate the work of a browser. Automation of business processes.- PL/SQL,MySQL - working with databases, I created an application in the APEX, creating reports etc.- VBA, VBS worked mainly with macros, analysis, creating tools to work with data.- Blue Prism - participated in the development of robots projects.

    • RPA Intermediate Developer
      • Oct 2018 - Aug 2019

    • Student internships as a RPA developer.
      • Jul 2018 - Sep 2018

Education

  • Politechnika Wrocławska
    Master's degree, Sztuczna Inteligencja (Artificial Intelligence)
    2021 - 2023
  • Politechnika Wrocławska
    Master's degree, Applied Mathematics
    2021 - 2022
  • Wroclaw University of Science and Technology
    Bachelor of Engineering - BE, Applied Math
    2016 - 2020

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