Rajiv Sharma

Machine Learning Engineer at Keyward
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Contact Information
us****@****om
(386) 825-5501
Location
Berlin, Berlin, Germany, DE
Languages
  • English Full professional proficiency
  • German Limited working proficiency

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Piyush hazari

A blend of technical know-how and strong work ethic is what comes to mind when I think about Rajiv. As his manager at Bosch during his apprenticeship days, I was most impressed by his skill in handling software packages to analyze the hydraulics in the product and contribute effectively to reduce defects in the same. His calm demeanor during deadlines and presentations is especially rare in young professionals. In view of all that is stated, I strongly recommend Mr. Rajiv Sharma, without any hesitation.

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Credentials

  • Neural Networks and Deep Learning
    Coursera
    Jan, 2022
    - Nov, 2024
  • The Complete Introduction to OpenFOAM
    Udemy
    Oct, 2020
    - Nov, 2024
  • A Hands-on Introduction to Engineering Simulations
    edX
    Jul, 2020
    - Nov, 2024
  • Introduction to programming using MATLAB
    Coursera
    Apr, 2020
    - Nov, 2024

Experience

  • Keyward
    • Germany
    • Software Development
    • 1 - 100 Employee
    • Machine Learning Engineer
      • May 2023 - Present

      Outfitting breakthrough engineering software with AI, Keyward’s first product cuts down manufacturers’ energy intensive design evaluation cycle by half and delivers more accurate results than traditional CFD simulations and other methods.• Developing Machine Learning models for predicting aerodynamics

    • Work Student/ Part-time
      • May 2022 - May 2023

      • Execution of vehicle aerodynamic simulations using OpenFOAM• Running simulations using AWS HPC; Processing and documentation of the simulation results• Developing scripts to automate post-processing using Paraview and Python

  • Chair of Fluid Mechanics and Institute of Aerodynamics
    • Research Services
    • 1 - 100 Employee
    • Master Thesis
      • Jan 2022 - Oct 2022

      Prediction of unsteady flows using Physics Informed Neural Networks (PINNs). Prediction of unsteady flows using Physics Informed Neural Networks (PINNs).

  • Chair for Heat and Mass Transfer, RWTH Aachen
    • Aachen, North Rhine-Westphalia, Germany
    • Student Assistant
      • Aug 2020 - Aug 2022

      Generation of optimal dynamic mesh to capture chip generation and model the effects of cutting fluid on the tool temperature during 2D orthogonal cutting using OpenFOAM. Generation of optimal dynamic mesh to capture chip generation and model the effects of cutting fluid on the tool temperature during 2D orthogonal cutting using OpenFOAM.

  • Volkswagen Group
    • Germany
    • Motor Vehicle Manufacturing
    • 700 & Above Employee
    • Intern
      • Apr 2021 - Oct 2021

      • Transient hypersonic flow simulations in airbag manifolds using STAR-CCM+. • Analysis of trigger functions and implementation of adaptive mesh refinement to increase efficiency of simulations. • Validation by comparing data against a mesh independent solution obtained by a mesh sensitivity study. • Transient hypersonic flow simulations in airbag manifolds using STAR-CCM+. • Analysis of trigger functions and implementation of adaptive mesh refinement to increase efficiency of simulations. • Validation by comparing data against a mesh independent solution obtained by a mesh sensitivity study.

  • Chair of Fluid Mechanics and Institute of Aerodynamics
    • Research Services
    • 1 - 100 Employee
    • Student Project Assistant
      • Oct 2020 - Mar 2021

      Creation of a cartesian mesh for faster convergence and numerical optimization of the boundary conditions at the rotor-stator-cavity for LES of 'Rim Seal Flow' in a single-stage axial flow turbine. Creation of a cartesian mesh for faster convergence and numerical optimization of the boundary conditions at the rotor-stator-cavity for LES of 'Rim Seal Flow' in a single-stage axial flow turbine.

  • Bosch India
    • India
    • Motor Vehicle Manufacturing
    • 700 & Above Employee
    • Graduate Apprentice
      • Oct 2018 - Aug 2019

  • Bosch India
    • India
    • Motor Vehicle Manufacturing
    • 700 & Above Employee
    • Intern
      • Jan 2018 - May 2018

Education

  • RWTH Aachen University
    Master of Science - MS, Computer aided Mechanical Engineering
    2019 - 2022
  • Manipal University Jaipur
    Bachelor of Technology, Mechanical Engineering
    2014 - 2018

Community

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