Parag Jain

Software Engineer at ZET
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Contact Information
us****@****om
(386) 825-5501
Location
DE
Languages
  • Deutsch Limited working proficiency
  • English Full professional proficiency
  • Hindi Native or bilingual proficiency

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Credentials

  • Complete Python Developer in 2020: Zero to Mastery
    Udemy
    Jun, 2020
    - Oct, 2024

Experience

    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Software Engineer
      • Sep 2021 - Present

      Through ZET we are combining existing mobility opportunities and reconsider the way they can be utilized. Starting at the base with e-carsharing within Bremen and providing hard- and software possibilities for car-sharing solutions, we expand the idea of mobility by combining all existing mobility solutions for a more flexible and sustainable future. To furthermore increase the efficiency (of transportation) and to optimize the utilization of car-sharing pools we use and provide analytical software which can display the user data in an individual and “easy to view” way. Show less

    • Student Assistant
      • Sep 2020 - Sep 2021

      Project: Ultra-Precision Machining Data Analysis • Programming in MATLAB for Data Analysis • Analyzing behaviors of the rotor and machine displacement in ultra-precision machining Project: Programming in LabVIEW for Control Applications • Programming for controlling a gimbal controller • Programming for controlling machine axes and piezo stage controller Project: Ultra-Precision Machining Data Analysis • Programming in MATLAB for Data Analysis • Analyzing behaviors of the rotor and machine displacement in ultra-precision machining Project: Programming in LabVIEW for Control Applications • Programming for controlling a gimbal controller • Programming for controlling machine axes and piezo stage controller

    • Germany
    • Higher Education
    • 700 & Above Employee
    • Master Thesis
      • Aug 2020 - May 2021

      Master's thesis in the field of machine learning and deep learning. In a robotic unit for handling the cuttings-produced plants, a vision-based system for object (plant) recognition was to be developed to support robotic separating and sorting of the overlapped (occluded) cuttings of plants. However, recognition of occluded target objects is still a bottleneck. In this thesis, PatchPerPix and CenterMask2 method for instance segmentation with good performance for occluded objects were investigated and implemented. Show less

    • Student Assistant
      • Oct 2020 - Dec 2020

      • Working in the field of Robotics and Autonomous Systems for Green AI project• Developing efficient technology for vegetative plant production• Creating plant datasets used for Green AI research

Education

  • Technische Universität Chemnitz
    Master's degree, Embedded systems
    2018 - 2020
  • Dwarkadas J. Sanghvi College of Engineering
    Bachelor of Engineering - BE, Electronics and Telecommunication
    2015 - 2018

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