Youngsung Song

Motivated Engineering student with a solid foundation in mechatronics engineering. Proficient with Autodesk Inventor, MATLAB, and skilled in problem-solving and critical thinking with good time management skills. Demonstrated ability to work collaboratively in team environments and contribute to innovative solutions.

• Real-Time Software Design: Implemented ADC on ATmega328P microcontroller to sample analog signals at 200 samples per second using timers, with data transfer via serial communication using C and Finite State Machine principles.
• Control Systems: Designed cascading P, PI, and 2 DOF PID controllers for simple drone position control.
• Multithreaded Audio Processing: Developed a C++ program for adjusting pitch of input audio and outputting through speakers, with seamless user input handling.
• Engineering Design & Manufacture: Created a gear reducer CAD model using Autodesk Inventor, considering manufacturability.

• Analogue to CAN Converter: Developed an analogue to CAN converter for the 2023 Formula SAE car using Altium, enhancing modularity and optimizing space.
• Accelerator Pedal Position Sensor (APPS): Designed and implemented an APPS for the 2023 Formula SAE car using Altium, processing pedal position input and outputting a boosted signal for the control unit.

• 2023 Formula SAE Car Achievement: Contributed to the car placing 1st in engineering design and acceleration race of the Australasia competition, ranking 5th on the World Ranking List.