Driven and passionate Computer Engineering senior at Georgia Institute of Technology with a strong interest in hardware and robotics engineering. My journey began when I earned a spot in the 2019 VEX Robotics State Championship, sparking my desire to innovate in the hardware field. Having studied abroad since 9th grade, I bring a global perspective and excel in problem-solving, teamwork, and communication. Ready to take the next step as a results-driven hardware engineer, I seek opportunities in fast-paced environments where I can contribute to transformative projects and grow alongside industry leaders.
- C C System Verilog VHDL JAVA Javascript
- Linux ARM RISC-V Cadence FPGAs Altera Quartus II MIPS LaunchPad Windows git Visual Studio Powershell oscilloscope logic analyzer
- Developed a top-down RPG game using the Mbed platform with ARM architecture.
- Implemented game mechanics in C, utilizing a hash table for dynamic object management on a map larger than the screen.
- Utilized a Nav Switch for character control and integrated additional hardware features for action triggers.
- Skills Demonstrated: Embedded systems, data structures (hash table), C, hardware integration, and game logic implementation
- Developed a Direct Digital Synthesis peripheral for the SCOMP processor using C and Assembly, generating sine wave audio from 100 Hz to 5 kHz with 1% accuracy and supporting 68 musical notes.
- Implemented dual operating modes for inputting specific frequencies or musical note indices, offering flexibility for users.
- Integrated independent volume control for left and right speakers, enhancing user functionality.
- Designed a simplified addressing system, balancing flexibility and ease of use, and tested on the Mbed platform with a Digital-to-Analog Converter.
- Skills Demonstrated: C, Assembly, SCOMP processor, Mbed platform, DAC, embedded systems design
Developing a disaster response robot designed for navigation in dynamic environments using a sensor fusion module.
- LIDAR, ultrasonic sensors, and an infrared camera are integrated to process real-time data, enabling precise navigation and obstacle detection within confined spaces.
- Embedded processing fuses sensor data, utilizing SLAM and other advanced algorithms to create accurate maps, manage noise, and account for sensor variability.
- Skills Demonstrated: Sensor fusion, embedded systems, real-time data processing, LIDAR, ultrasonic sensor integration, SLAM, autonomous navigation, machine learning
- Co-authored a study examining the correlation between self-esteem and coding education awareness among pre-service early childhood teachers in Korea, focusing on the role of professional expertise.
- Analyzed survey data from 182 participants using Cronbach’s Coefficient and Pearson's Ratio Correlation Analysis to assess the impact of self-esteem and expertise on coding education awareness.
- Highlights the current status of coding education in Korea, underscoring the need for stronger foundational skills and awareness in educational programs to prepare children for a tech-driven future, aligning with global efforts in STEM and computational thinking.
- Skills Demonstrated: Research methodology, statistical analysis, data interpretation, and insight into coding education’s role in technology literacy