Experiences

Participated in the IEEE OPS Program, where I completed multiple hands-on embedded systems projects focused on microcontrollers, sensors, and peripheral integration. These projects emphasized understanding hardware–software interaction, signal behavior, and real-world device control.

• RGB LED Wizard — Implemented programmable RGB lighting patterns using microcontroller logic, enabling dynamic color transitions and state-based control based on real-time input from a potentiometer.
• Ultrasonic Sensor Trash Can — Built an automated trash can using cardboard materials and an ultrasonic distance sensor to detect proximity and drive a motor that opens the lid, combining sensor input processing with motor control.
• iPiduino — Developed a mini MP3 player using a microcontroller and a DFPlayer Mini module with an inserted storage card, enabling button-controlled audio playback through a connected speaker.

Worked as a computer technician providing hands-on hardware and software support for customer systems. The role required diagnosing issues, performing repairs, and ensuring reliable system performance across a wide range of devices.

• Diagnosed and repaired desktop and laptop hardware issues, including storage failures, memory problems, power issues, and component replacements
• Installed, configured, and reinstalled operating systems, drivers, and essential software to restore system functionality and performance
• Performed system troubleshooting to identify software conflicts, malware issues, and performance bottlenecks
• Assisted customers with system setup, data transfer, and technical questions, ensuring clear communication and reliable support

Participated in the DREAM AI Hackathon in Boston as part of a multidisciplinary team, addressing a real-world healthcare bottleneck where hospitals in Korea face limited bed availability and delayed patient routing during time-critical situations.

• MediRoute — Collaboratively developed an AI-assisted system to streamline patient routing by collecting patient information, contacting multiple hospitals, and filtering facilities based on real-time bed availability and response status.
• Designed an AI-driven pipeline to convert structured patient data into descriptive summaries and voice-based outputs to support faster medical routing and communication.
• Contributed to system logic, data flow design, and integration between backend services, AI analysis, and user-facing components within a tight hackathon timeline.

Participated in BitHacks at UC Irvine, collaborating in a fast-paced hackathon environment to design and build an embedded systems project within a limited timeframe. The project focused on creative hardware– software integration and real-time user interaction.

• GOOD-VIBE CLOCK — Built an interactive talking clock using an ESP32, OLED display, and DFPlayer Mini that supports a compliment mode and a time-speaking mode controlled via physical buttons.
• Implemented button input logic, display updates, and synchronized audio playback to deliver real-time visual and voice feedback.
• Integrated multiple peripherals under time constraints, demonstrating practical embedded programming, debugging, and hardware–software coordination.

• Machine Learning, Data Science & AI Engineering with Python

  Udemy · Sundog Education (Frank Kane)

  Completed an end-to-end course covering supervised and unsupervised learning, data preprocessing, model evaluation, and practical AI workflows using Python and industry-standard tools.

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• Exploratory Data Analysis for Machine Learning

  IBM · Coursera

  Gained hands-on experience analyzing datasets for machine learning, focusing on data visualization, statistical insights, feature understanding, and preparing data for downstream ML models.

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