Amit Kumar Choudhary

Software Engineer ML at Matworks – Materials Engineering Solutions
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Contact Information
us****@****om
(386) 825-5501
Location
Aalen, Baden-Württemberg, Germany, DE
Languages
  • English Professional working proficiency
  • Hindi Native or bilingual proficiency
  • Telugu Limited working proficiency
  • German Limited working proficiency
  • Bhojpuri Native or bilingual proficiency

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Credentials

  • Introduction to Machine Learning in Production
    Coursera
    Feb, 2022
    - Nov, 2024
  • Deep Learning: Image Recognition
    Lynda.com
    Nov, 2018
    - Nov, 2024
  • ISO Internal Auditor for ISO 9001, ISO 14001, OHSAS 18001 and ISO 22301
    British Standardization Institute
    May, 2016
    - Nov, 2024

Experience

    • Germany
    • Mechanical Or Industrial Engineering
    • 1 - 100 Employee
    • Software Engineer ML
      • Mar 2023 - Present

      • Developing customized AI integrated quality control systems for various business sectors• Active involvement in the research and development activities for microscopy and ML driven tasks

    • Machine Learning Specialist
      • Aug 2018 - Feb 2023

      • Application of machine learning and computer vision techniques to find the solutions for automated quantitative and qualitative microstructure analysis in the field of materials science.• Some of the use cases include analysis of Li-ion batteries, permanent NdFeB magnets, fuel cells, advanced ceramics, hardened steels, coppers, aluminium from different microscopy images.

    • Germany
    • Higher Education
    • 1 - 100 Employee
    • Research Associate - Machine Learning
      • Dec 2018 - Feb 2023

      • Applied machine learning research • Quality assurance approach for permanent NdFeB magnets • Advanced image analysis for optical light microscopy, kerr microscopy and scanning electron microscopy data • Applied machine learning research • Quality assurance approach for permanent NdFeB magnets • Advanced image analysis for optical light microscopy, kerr microscopy and scanning electron microscopy data

    • Master Thesis - Machine learning for microstructure classification in functional materials
      • Apr 2018 - Nov 2018

      • Machine learning based robust approach to identify different phases in NdFeB sinter magnet based on correlative microscopy (Optical light microscope and SEM) information was developed and evaluated against the pre-existing reference results.• The developed model proved to be fast, accurate and more precise when differentiating optically similar phases.• Using Kerr microscopy to study the grain distribution and domain pattern orientations in NdFeB sinter magnet and then used a machine learning approach to automate the process of quantifying the ROI.• Performance evaluation was done against reference results produced by experts. The performance of the developed model gave results that were in close relationship with reference values. Show less

    • Studentische Hilfskräfte/Scientific helper
      • Oct 2017 - Nov 2018

      • Research on different areas of applications of machine learning for quality assurance in materials science.• Phase segmentation of duplex steel, perlite, FeNdB sinter magnets, and sinter Metals• Improved the performance of the existing quality assurance model to predict micro-hardness of 32CrB4 steel from micrographs

    • Campus Ambassador
      • Sep 2012 - Aug 2013

      • Acted as a bridge between my college(TKRCET) & SSTS • Responsible for publicizing SSTS & its events through announcements, posters, seminars, social & online media and college clubs • Supervised and organized SSTS event/workshops • Acted as a bridge between my college(TKRCET) & SSTS • Responsible for publicizing SSTS & its events through announcements, posters, seminars, social & online media and college clubs • Supervised and organized SSTS event/workshops

    • India
    • Higher Education
    • 700 & Above Employee
    • Summer Intern
      • May 2013 - Jun 2013

      • Feasibility study on a hydrodynamic journal bearings • Applied research on its designing parameters • Matlab codes to verify the design sustainability of hydrodynamic journal bearings • Feasibility study on a hydrodynamic journal bearings • Applied research on its designing parameters • Matlab codes to verify the design sustainability of hydrodynamic journal bearings

Education

  • Aalen University
    Master of Science - M.Sc, Advanced Materials and Manufacturing
    2017 - 2018
  • TKR Institute of Engineering And Technology
    Engineer's degree, Mechanical Engineering
    2010 - 2014

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