cv Resume Academic CV

Vedant K. Naik is a robotics developer, passionate about Autonomous Vehicle and Sustainibility.

Basics

Name Vedant K. Naik
Label Electrical Engineering (Robotics, Embedded Systems, Control)
Email vedant(at)roboticvedant(dot)com
Phone (562) 350-5719
Url https://roboticvedant.com/
Summary Electrical Engineering student specializing in robotics, embedded systems, and control, with hands-on experience in firmware, sensing hardware, and system prototyping.

Languages

English
Hindi
Gujarati

Education

  • 2022.08 - 2026.05

    East Lansing, Michigan, US

    Bachelor of Science
    Michigan State University
    Electrical Engineering

Work

  • 2025.08 - 2025.12

    Palo Alto, California, US

    Software Integration Engineer Intern (Drive Inverter Firmware Team)
    Tesla
    Vehicle Software @ Tesla
    • Vehicle Software @ Tesla....
  • 2025.05 - 2025.08

    Newark, California, US

    ADAS Sensor Hardware Engineer Intern
    Lucid Motors
    • Engineered a camera data collection system for the Lucid Gravity, enabling debugging and data collection for all cameras; provided an I2C interface for camera-to-host communication for rapid prototyping and testing.
    • Developed a testing setup for a depth-estimation sensing system for next-generation Lucid vehicles, using a cost-effective approach to repurpose existing camera packaging locations.
    • Root-caused and resolved 5+ production camera issues by analyzing sensor-level signals and raw camera data; collaborated with the external ISP vendor, image sensor manufacturer, module integrator, and internal teams.
  • 2024.10 - 2025.02

    East Lansing, Michigan, US

    Research Assistant
    PoliMOVE-MSU Autonomous Racing Team, Michigan State University
    • Developed a LiDAR-based opponent detection system leveraging PointPillars to improve real-time object detection and tracking at speeds up to 180 mph; structured and conditioned raw LiDAR data to optimize voxelization, feature extraction, and inference time.
    • Engineered a ground-truth generation approach for a race-car dataset by conditioning raw sensor data, denoising, and aligning with annotated labels to create high-fidelity training sets; improved robustness across varied track environments and scenarios.
  • 2024.05 - 2024.08

    Troy, Michigan, US

    Embedded Systems Intern
    Intrepid Control Systems
    • Enhanced firmware of Zynq-based products by integrating IMU, DoIP, and GPS support using Xilinx SDK; resolved 7+ firmware driver issues to expand product functionality.
    • Added gPTP support for 10Base-T1S PHY and TC10 support for 100/1000Base-T1 Automotive Ethernet products; improved GPS signal reporting and overall system performance through the company resource API.
    • Automated network traffic testing on automotive Ethernet products using Ixia's network load module; reduced manual effort from ~120 minutes to ~5 minutes and accelerated report generation.
  • 2023.08 - 2025.05

    East Lansing, Michigan, US

    Undergraduate Researcher
    Smart Microsystems Lab, Michigan State University
    • Engineered an autonomous robotic blimp with a 4-thruster configuration, IMU, WiFi, and LoRa connectivity; developed microcontroller PCB and firmware with a micro-ROS architecture to streamline algorithm development between low-level and high-level control systems.
    • Modeled blimp dynamics and developed a simulator to test control algorithms in a virtual environment, enabling rapid prototyping and validation prior to deployment; reduced development time and improved reliability through extensive controlled testing.
    • Modeled a nonlinear strain sensor with significant temporal dynamics using a Time-Delay Neural Network (TDNN), achieving R² > 0.98 and prediction frequency > 2 kHz.
    • Designed an 8-pressure sensor breakout board in Altium Designer to interface with a pneumatic pressure setup for negative and positive gauge pressure measurement.
  • 2022.11 - 2023.05

    East Lansing, Michigan, US

    Student Technical Assistant
    Facility for Rare Isotope Beams (FRIB), Michigan State University
    • Developed an application tailored for carbon charge stripper data analysis, automating routine workflows and reducing time spent on analysis by ~60%.
    • Designed and constructed a high-pressure experimental apparatus rated up to 275 psig to support development of next-generation technology for linear accelerators.

Skills

Embedded Systems
Embedded firmware
Microcontrollers
Debugging
PCB design
Altium Designer
Sensing interfaces
Software
C
C++
Python
Linux
Git
ROS / micro-ROS
Controls & Autonomy
Modeling and system identification
Control theory
Optimal control
Model predictive control
Adaptive control
Reinforcement learning

Interests

Modeling and Control
Non-linear system modeling
System identification
Control theory
Optimal control
Model predictive control
Data-driven control
Adaptive control
Reinforcement-learning control policy design
Model-agnostic control
Autonomous Vehicles
Perception and control
Sensor fusion
Path planning
Decision making
Human–robot interaction