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) |
| 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
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2022.08 - 2026.05 East Lansing, Michigan, US
Work
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2025.08 - 2025.12 Palo Alto, California, US
Software Integration Engineer Intern (Drive Inverter Firmware Team)
Tesla
Vehicle Software @ Tesla
- Vehicle Software @ Tesla....
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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.
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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.
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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.
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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.
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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 |