Experience

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  Team yodha racing

  Feb 2017 - Feb 2021

  Lead vehicle dynamics engineer

  • Led a team of 6 members in the design and validation process using 3D-modeling, meshing and analyzing software like Catia, HyperMesh and ANSYS while adhering to intended rulebook standards ensuring quality and safety.• Prepared comprehensive technical reports, including BOM (Bill of Materials), SES (Structural Equivalency Spreadsheet) and DFMEA (Design Failure Mode and Effective Analysis) for a Formula Student car to achieve its peak performance, by significantly reducing the overall cost to attract potential investors. • Achieved runner-up award at 2018 FMAE and secured 16th rank at 2019 SUPRA for implementing weight reduction strategies which resulted in saving a sum of $4,000 in BOM Show less

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  Daad german academic exchange service

  Nov 2019 - Feb 2020

  Vehicle safety

  Research Assistant - Design and development of Formula Student car under DAAD - German Academic Service " A new passage to Indo-german higher educational co-operation.

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  Frinksyn ai

  Jul 2021 - Apr 2022

  Associate data annotator

  • Annotated real-time driving data considering various climatic conditions to enhance the overall object categorization and lane detection accuracy.• Improved ADAS functionalities for passenger vehicles by feeding multi-level labelled data to ensure accuracy. • Enhanced the overall vision data required for the system by ensuring all types of static and dynamic objects.

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  Mahindra group

  May 2022 - Aug 2024

  System engineer - adas & auto park assist

  • Experienced in developing and validating L2 ADAS systems and autonomous parking (both interaction less parking with the help of both mobile and keyfob) including packaging automotive radars for both lateral and longitudinal ADAS functionalities including ultrasonic sensors for autonomous parking. • Experimented a POC (Proof of Concept) to implement REM (Road Experience Management) technology to generate HD (High-Definition) maps for training a vision based path planning algorithm especially for ADAS features – in partnership with “Mobileye’s EyeQ5” chip integrated camera module to evaluate Highway assist features like “Automatic lane change & Driver-initiated lane change”.• Defined the system level scope requirements, use/test cases to ensure the functional level maturity for ADAS & parking functions by testing them by ensuring CAN communications between multiple EPT’s (Electric Powertrain) components using vector’s CANanalyzer, canape & canoe tools on vehicle level to ensure 100% interface communications.• Interacted with suppliers through regular meetings and ensured the testing and validation of software level maturity through test reports, and prepared DFMEA for each function to meet ASIL (Automotive Safety Integrity Level) standards for all active safety functions. Show less