Atharva Wani

Atharva Wani

Vehicle Dynamics Engineer

Followers of Atharva Wani826 followers
location of Atharva WaniNorwalk, Connecticut, United States

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  • Timeline

  • About me

    Seeking roles in Automotive, Medical devices, Mechatronics, Wearables, Robotics | Mechanical Design, Rapid Prototyping Specialist | SolidWorks, Catia, ROS2, Python | Robotics and Mechanical Engineer

  • Education

    • Manipal Institute of Technology

      2017 - 2021
      Bachelor of Technology Mechanical Engineering
    • Arizona State University

      2022 - 2024
      Master's degree Mechatronics, Robotics, and Automation Engineering
  • Experience

    • Team Manipal Racing(BAJA Student Team)

      Aug 2018 - May 2019
      Vehicle Dynamics Engineer

      Collaborated within a cross-functional team of 35 students to design a BAJA-SAE vehicle, showcasing strong teamwork and project management skills.Utilized iterative design optimization techniques and mechanical FEA simulations to develop steering knuckles that were 20% lighter, enhancing vehicle performance while adhering to DFM/A and design to cost principles.Played a key role in the fabrication, assembly, and testing of critical vehicle components, including steering knuckles and suspension linkages, demonstrating hands-on experience and proficiency in manufacturing processes and machine tools. Show less

    • Acme Process Systems Pvt Ltd.

      Feb 2021 - Jun 2021
      Mechanical Design Engineer R&D Intern

      Spearheaded integration of ANSYS for fluid flow simulation, resulting in a 30% increase in simulation accuracy.Transformed 2D chemical mixer designs into optimized 3D models using SolidWorks, leading to a 25% improvement in design efficiency.Led multi-phase ANSYS simulations, reducing analysis time by 20% and streamlining 3D modeling procedures.

    • Arizona State University

      Feb 2023 - Aug 2023
      Graduate Teaching Assistant
    • Tesla

      Aug 2023 - May 2024
      Tech Trainee

      Analyzed software and hardware components, identifying and resolving root causes for issues in Tesla vehicles, reducing diagnostic time by 30%.Contributed to a 15% increase in overall efficiency and customer satisfaction through expertise in electric powertrain design principles and autonomous driving system interactions.

  • Licenses & Certifications