David P. Federl

Experience

  • Student Assistant

    since 2022
    University Duisburg-Essen

    Development of the elastic-AI.runtime for low power low resource embedded systems. The target of this project is to make AI available on sensor nodes. To archive this the team created an expendable hardware architecture around an FPGA, which serves as a hardware accelerator for AI models.

  • Working Student

    2017 - April 2020
    Purmetall GmbH & Co. KG

    Independent software projects to digitize production documents are being developed.

Education

  • University Duisburg-Essen

    since 2032
    Master of Science Cyber Physical Systems

  • University Duisburg-Essen

    2017-2023
    Bachelor of Science Applied Computer Science

    Graduated with 2.4

  • RWTH Aachen University

    2013-2017
    Bachelor of Science Mechanical Engineering

    Discontinued

  • Erich K√§stner Gesamtschule Duisburg Homberg

    2004 - 2013
    Allgemeine Hochulreife

    Graduated with 2.1 (626 Points)

Skills

Programming

  • C
  • Embedded C
  • CMake
  • Java
  • SpringBoot
  • Thymeleaf
  • Python
  • PyTorch
  • XML
  • HTML5
  • CSS3
  • JavaScript
  • JSON
  • Gradle
  • SQL

Hardware

  • Soldering
  • PCB Design
  • Computer Aided Design (CAD)
  • 3D Printing