Hendrik Scherner

Machine Learning Engineer at auvisus
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Location
Munich, Bavaria, Germany, DE

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Experience

    • Germany
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Jun 2020 - Present

      Working as a machine learning engineer (focus on computer vision) to provide customers with autonomous self-checkouts. Main responsibilities:- development and maintenance of the ML architecture- design, implementation and management of data pipelines Working as a machine learning engineer (focus on computer vision) to provide customers with autonomous self-checkouts. Main responsibilities:- development and maintenance of the ML architecture- design, implementation and management of data pipelines

    • United States
    • Software Development
    • 700 & Above Employee
    • Software Engineer / Data Scientist (Working Student)
      • Mar 2019 - Apr 2020

      - Development of REST/HTTP endpoints- Support with the integration and migration of new databases - Development of REST/HTTP endpoints- Support with the integration and migration of new databases

    • Germany
    • Research Services
    • 200 - 300 Employee
    • Software Engineer (Student Research Assistant)
      • May 2017 - Aug 2018

      Working within the information process engineering (IPE) team with main tasks:- Data analysis and visualisation with RShiny- Design and development of user interfaces with HTML, JavaScript and d3.js - Market research and customer interviews Working within the information process engineering (IPE) team with main tasks:- Data analysis and visualisation with RShiny- Design and development of user interfaces with HTML, JavaScript and d3.js - Market research and customer interviews

    • Airlines and Aviation
    • 700 & Above Employee
    • Bachelor Thesis
      • Oct 2016 - Feb 2017

      Implementation of a tool for analyzing the enforcement of Lufthansa Cargo's pricing guidelines. Interactive dashboard created within the R environment using packages as Shiny, data.table and ggplot2. Implementation of a tool for analyzing the enforcement of Lufthansa Cargo's pricing guidelines. Interactive dashboard created within the R environment using packages as Shiny, data.table and ggplot2.

    • Germany
    • Business Consulting and Services
    • 700 & Above Employee
    • Intern/Working Student
      • Sep 2015 - Feb 2017

Education

  • Karlsruher Institut für Technologie (KIT)
    Master of Science - MS, Industrial Engineering
    2017 - 2020
  • La Salle BCN
    Management of Business and Technology
    2018 - 2019
  • Karlsruher Institut für Technologie (KIT)
    Bachelor of Science - BS, Industrial Engineering
    2013 - 2017

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