Vin Shin
About Me
Hello, I am Vin Shin, an undergraduate at University of California, Santa Barbara (UCSB) studying electrical engineering. This is my portfolio of projects.
I am currently a member of the Electronics subteam at Gaucho Racing, a student-led organization that designs and builds an electric race-car to compete in the Formula SAE Electric competition.
I am an avid electronics enthusiast and am highly interested in pursuing a career in something… Still figuring that out. Just give me a task and some tools and I’ll do the rest.
Links
Projects
Click on blue text to view more details.
Vehicle Sensor Network
Designed and manufactured sensor network that captures data metrics of GR25, Gaucho Racing’s 2025 electric car for the Formula SAE Electric competition Designed 2 unique sensor PCBs using a VL53L0X, STM32G4, Bosch IMU323, TE 4525DO, voltage regulators, and MCP2542FD for enabling ride-height and accelerometer data in various chassis nodes. Created 5 unique enclosures housing sensor modules and data acquisition system with ingress protection.
Remote Shopping Cart
Utilized brushless hub motors, hall effect sensors, RC & PWM communications, STM32 to construct a remote control shopping cart. Improved safety and storage capabilities (rated to move at 25 mph max, and up to 300 pounds of load). Showcased to 300 people and presented in a conference for technological mobility.
Project Bonsai
Designed a multipurpose rover with Raspberry Pi, Dynamixel Motors, LiDAR, and ROS capable of detecting and manipulating, storing, and clearing trash. Implemented map scanning and localization through SLAM, ensuring optimal traversal and collection efficiency. Capable of scanning and clearing rooms (100 sq ft) in 3 minutes.
Mechanical Integrator
Recreated a Ball and Disk integrator to demostrate the fundamental theory of calculus. Used Arduino, NEMA stepper motors, 3D printing, and magnetic motor encoders.
Path Algorithm from distance-to-wall sensors
Designed an Arduino car with 6 ultrasonic sensors to create an pathfinding algorithm. Capable of pathfinding ~20 meters with ~2% collision rate. Used ESP-32, ultrasonic sensors, DC motors, H-Bridge driver, 3D printing.