Senior (4th Year, 1st Semester) @ Chung-Ang University | B.S. in Electrical and Electronics Engineering

• Undergraduate Research Intern @ Chung-Ang University SSLAB (Mar 2026 – Feb 2027(expected))
  • Studying GPU utilization optimization for Large Language Model (LLM) serving under the supervision of Prof. Cheolho Hong.
• Undergraduate Intern @ Telechips (Jan 2026)
  • Brought up 3 types of Topst boards (AI-G, D3-G, VCP-G).
  • Developed an autonomous Scale Car utilizing YOLOv8 and OpenCV models for real-time object detection and lane following algorithms.
  • Optimized AI model inference on the Topst NPU board.
• Undergraduate Research Intern @ Seoul National University (Sep 2025 – Dec 2025)
  • Participated in the Next-generation Semiconductor Convergence University credit exchange program.
  • Designed and implemented a low-power FPGA-based Spiking Neural Network (SNN) Wake-Word Spotting System under the supervision of Prof. Wookyung Sun.
• Marketing Team Contractor @ Seeroo Information (Mar 2025 – Sep 2025)
  • Started as an office assistant and proactively improved workflow efficiency.
  • Planned, developed, and maintained Python-based app/web crawling tools to restructure data and automate data entry systems.

• MINI-V : On-device LLM integration in a custom Android OS | Apr 2026 – Present
  • Exploring system-level integration of a compact model, leveraging the Hexagon NPU through a vendor-side inference service shared across applications.
• Mapmo (Map your memo): Location-based Todo Alert Keyring | Feb 2026 – Mar 2026
  • Role: PM & Firmware/Hardware Developer
  • Developing a location-based task management service that pairs an Android app with a custom low-power keyring device.
  • Engineered firmware using FreeRTOS on ESP32 to achieve ultra-low power consumption and real-time task handling.
  • Designed a portable, compact exterior shell using Autodesk Fusion 360.
• Autonomous Driving Scale Car | Jan 2026
  • Role: Intern (Telechips Internship)
  • Real-time object detection and lane following using YOLOv8 and OpenCV.
  • Optimized AI model inference on Topst NPU(AI-G) board.
• FPGA-based SNN Wake-Word Spotting System | Sep 2025 – Dec 2025
  • Role: Individual Project
  • Designed and implemented a low-power wake-up call detection system using SNN architecture on an FPGA.
  • Award: 3rd Place (Encouragement Award) at the Semiconductor Innovation Festival (SIF 2026).
• Aquamonitor: Beverage Intake Tracker | May 2024 – Oct 2024
  • Role: PM & Hardware Developer, PCB Layout, 3D Modeling
  • Developed a service that measures and records beverage intake based on weight changes.
  • Reduced module weight through custom PCB manufacturing.
• CECOM4CUT: Thermal Printer Photo Booth | Sep 2023 – Mar 2024
  • Role: PM & Hardware Developer
  • Developed an embedded system that captures photos via ESP32, processes JPEGs into 1-bit BMPs via dithering, and prints them using a Bluetooth Thermal Printer.
• Navizam (나비잠): SIDS Prevention System | May 2023 – Oct 2023
  • Role: PM, Hardware Developer, App Development Support
  • Implemented indoor child movement tracking using UWB beacons and analyzed bio-signals to prevent Sudden Infant Death Syndrome (SIDS) during independent sleep.

Languages & OS

Hardware & Embedded