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👋 Hi, I'm Yubin Seo

Senior (4th Year, Last Semester) @ Chung-Ang University | Electrical and Electronics Engineering

Blog


💼 Work & Research Experience

  • Undergraduate Research Intern @ Yonsei University MobedLAB (Aug 2026 - Present)
    • Studying NPU utilization optimization for Vision Model
  • Undergraduate Research Intern @ Chung-Ang University SSLAB (Mar 2026 – Aug 2026)
    • Studying GPU utilization optimization for Large Language Model (LLM) serving
  • 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.

📁 Projects

  • MINI-V : On-device LLM integration in a custom Android OS | Apr 2026 – Sep 2026
    • Role: Vendor-Side Inference Service Developer
    • Team Member: Me and Yongmin Yoo
    • Custom Android OS based on LineageOS, Integrated a Compact Language Model as a System Service leveraging the Hexagon NPU through a vendor-side inference service shared across applications.
    • Sources : Project Github
  • 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.

🛠 Tech Stack

Languages & OS C C++ Python Verilog FreeRTOS Linux Ubuntu

Hardware & Embedded Raspberry Pi Espressif STM32 FPGA NPU

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