What makes me Vedanshee
About Me
I am Vedanshee, and I am currently pursuing my Masters of Science in Mechanical Engineering at the University of Southern California with a strong foundation in mechatronics, embedded hardware, robotics, and control systems. I graduated from Ahmedabad University with a Bachelors of Technology in Mechanical Engineering. My technical expertise includes programming in Python, Embedded C and C++ as well as designing with tools like microcontrollers and microprocessors, which I have gained from participating in global competitions related to designing autonomous vehicles, and through internship experiences in the area of electronics and robotics. I ❤️to drink coffee, explore different places, get involved in arts and crafts activities, and learn new languages.
My experience
Electronic Test Systems Intern-Cummins Inc
January 2025 - Present
Columbus, Indiana, USA
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Developing test sequences and performing automated testing for ECM by utilizing NI LabVIEW, TestStand, and VeriStand
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Verifying ECM compatibility with Cummins' proprietary software tools to enable a proper bench-to-ECM communication
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Integrating oil level and temperature sensor to ECM and validating the sensor performance for robust hardware-software integration
Robotics Engineer Intern- Hampton Lumber
May 2024 - August 2024
Willamina, Oregon, USA
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Developed an autonomous sweeper robot for a sawmill that cleans heavy sawdust debris utilizing SICK Tim 781 LiDAR with NVIDIA Jetson Orin Nano and ROS2 to perform simultaneous localization and mapping (SLAM) and navigation
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Utilized MPU 9250 IMU to enhance odometry data and implemented Extended Kalman Filter to enhance localization and sensor fusion
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Used Adafruit Huzzah ESP32 board and four channel relay module to control the brushes for sweeping and vacuuming process
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Utilized 100 Ah LiPO battery, AmpFlow motors with encoders, Basic Micro Motor controller, relays, and fuses to run the entire system and ensure precise control and movement
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Enhanced the sweeping functionalities of industrial cleaning operations at Hampton Lumber Mills by 75%
Team Member, Akatsuki, Bosch Future Mobility Challenge, Bosch Romania
December 2022-May 2023
Cluj-Napoca, Romania
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Participated in the 6th edition of Bosch Future Mobility Challenge 2023, organized by Bosch Engineering Center in Cluj-Napoca, Romania
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Developed a 1/10th scale autonomous car and simulated navigation, lane detection, parking, and traffic sign detection behaviors using ROS and Gazebo
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Integrated and optimized positional data from the localization, IMU, and ultrasonic sensors with an accuracy of +/- 5 cm
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Utilized YOLOv5 Model for traffic sign detection with an accuracy of 97% and Raspberry Pi camera v2 for lane keeping
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Merged Pure pursuit and Dijkstra algorithm for path planning optimization
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Deployed ZeroMQ instead of multiprocessing pipes for IPC to reduce data transfer latency and improve system performance
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Secured a 21st rank globally among 118 teams in the 6th edition of BFMC 2023 and an 11th rank globally in the 5th edition of BFMC 2022
B2B Sales Intern- Forbes Marshall Pvt Ltd
June 2022-July 2022
Pune, Maharashtra, India
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Collected steam consumption, boiler, and steam trap data for the sugar and distillery industry as a part of B2B sales engineering
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Based on the collected data, solutions are provided to improve the efficiency of the entire plant